The document discusses how utilities can better utilize AMI data through improved tools and analysis. It outlines challenges in managing the large volume of data collected and developing new skill sets to analyze it. Specifically, AMI data allows utilities to reduce truck rolls, identify infrastructure weaknesses, perform long-term planning, and analyze rates. It also enables measuring and addressing line losses. However, utilities need analytics platforms, dedicated personnel, and new tools to fully leverage AMI data. Proper data setup and correlation of facts with dimensions is important for analysis. Overall, AMI data provides opportunities to improve operations if utilities can develop their analytics capabilities.
This presentation examines how AMI data, the collection of this data and the creation of tools to use this data have dramatically changed and is continuing to change metering operations. We will look at some of the challenges we are facing as we learn how to do business most effectively with this information and these tools.
This presentation examines how AMI data, the collection of this data and the creation of tools to use this data have dramatically changed and is continuing to change metering operations. We will look at some of the challenges we are facing as we learn how to do business most effectively with this information and these tools. 05/09/19
Using Predictive Analytics to Optimize Asset Maintenance in the Utilities Ind...Cognizant
Predictive analytics is a process of using statistical and data mining techniques to analyze historic and current data sets, create rules and predict future events. This paper outlines a game plan for effective implementation of predictive analytics.
This presentation takes a look at how organizations are adopting analytics and business intelligence in order to increase responsiveness, reduce operational costs, and improve asset integrity.
How to optimise renewables & energy storageIain Beveridge
GridMAP is a powerful tool to analyse renewables & energy storage business models, developed by a very talented bunch of economists, analysts, engineers and software developers.
• Easily model complex energy projects
• Develop intelligent energy storage strategies
• Assess & compare multiple permutations in minutes
• Optimise proposals & improve project success rates
• Integrate stacked revenue, DSR & PPA options
• Gain real clarity on investment decisions
• Monitor performance post installation
• Analyse export or operational limitations
• Forward plan market & regulatory developments
Check out our new commercial presentation and drop me a line if you would like to know more! Energy projects are by nature becoming more complex, and new sophisticated yet simple to use tools like GridMAP can offer a way for more companies to harness the power of energy analytics and gain real clarity on project potential.
This presentation examines how AMI data, the collection of this data and the creation of tools to use this data have dramatically changed and is continuing to change metering operations. We will look at some of the challenges we are facing as we learn how to do business most effectively with this information and these tools.
This presentation examines how AMI data, the collection of this data and the creation of tools to use this data have dramatically changed and is continuing to change metering operations. We will look at some of the challenges we are facing as we learn how to do business most effectively with this information and these tools. 05/09/19
Using Predictive Analytics to Optimize Asset Maintenance in the Utilities Ind...Cognizant
Predictive analytics is a process of using statistical and data mining techniques to analyze historic and current data sets, create rules and predict future events. This paper outlines a game plan for effective implementation of predictive analytics.
This presentation takes a look at how organizations are adopting analytics and business intelligence in order to increase responsiveness, reduce operational costs, and improve asset integrity.
How to optimise renewables & energy storageIain Beveridge
GridMAP is a powerful tool to analyse renewables & energy storage business models, developed by a very talented bunch of economists, analysts, engineers and software developers.
• Easily model complex energy projects
• Develop intelligent energy storage strategies
• Assess & compare multiple permutations in minutes
• Optimise proposals & improve project success rates
• Integrate stacked revenue, DSR & PPA options
• Gain real clarity on investment decisions
• Monitor performance post installation
• Analyse export or operational limitations
• Forward plan market & regulatory developments
Check out our new commercial presentation and drop me a line if you would like to know more! Energy projects are by nature becoming more complex, and new sophisticated yet simple to use tools like GridMAP can offer a way for more companies to harness the power of energy analytics and gain real clarity on project potential.
EPC Solutions LLP, which is into Large Scale Infra Projects (Metro, Airports, Stadiums & Other Mega Projects), Energy Solutions (EPC Solutions for Transmission & Distributed System upto 765kV, Contour & Route Survey, Soil Investigating etc.), Solar (EPC), Structure Supply - For Infra, Energy T&D & Solar Segment, MEP Services, SEZ & Other Consultancy Services, BIM Services (Upto LOD 500) & Geographical Information System, IT Services (Web Development, Software Solutions & Manpower Solutions).
EPC Solutions LLP, which is into Large Scale Infra Projects (Metro, Airports, Stadiums & Other Mega Projects), Energy Solutions (EPC Solutions for Transmission & Distributed System upto 765kV, Contour & Route Survey, Soil Investigating etc.), Solar (EPC), Structure Supply - For Infra, Energy T&D & Solar Segment, MEP Services, SEZ & Other Consultancy Services, BIM Services (Upto LOD 500) & Geographical Information System, IT Services (Web Development, Software Solutions & Manpower Solutions).
U.S. smart grid expenditures have been compromised largely of advanced metering infrastructure (AMI ) projects over the past five years. However, many utilities are now eager to fully optimize their systems with grid automation projects, which will allow them to fully realize the promise of the smart grid. Grid automation will create a much more reliable and efficient grid, enable optimization of thousands of grid-connected devices and distributed generation sources, and allow for faster outage recovery times.
Federal smart grid deployment targets, renewable portfolio standards, and the need to increase grid reliability have driven U.S. grid automation. However, as electricity markets open up in the U.S., grid automation projects will also be driven by a strong need to increase electric provider customer satisfaction.
As U.S. utilities embrace global standards such as IEC 61850, vendors with field proven grid analytics, advanced DMS, sensors, IEDs, and FLISR solutions will be best positioned in the market. The long-term result of such investments in grid automation will result in a significantly more reliable and efficient grid, higher utility customer satisfaction, and lower energy bills.
The major findings in this report show that a large majority of U.S. utilities are ready to take up the task of building a grid that meets the needs of tomorrow’s Connected Economy. However, utilities will need strong support from industry stakeholders (vendors, integrators, regulators, etc.) and electric customers to meet this goal.
Only 8–12% of customers report a power outage to their utility. Utilities that integrate Automated Metering Systems (AMI) data into outage management systems receive faster and more accurate reports about power outages, can better predict the extent of the outage, and more reliably verify service restoration. This paper discusses practical considerations when integrating AMI for outage management, including compliance testing, data quantity and quality, analysis issues, and best practices learned from experience.
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
Energy Event Index: Weather risk forecasts for power utilitiesSchneider Electric
Weather is the source of many of your most significant operational challenges. It not only causes outages that upset customers and inflicts damage to your infrastructure; it also impacts important decisions, such as offering mutual assistance to other organizations or requesting it for your own.
Weather-related outages are on the rise, increasing in frequency six fold over the last 20 years.* These outages cost the U.S. economy $20 to $55 billion a year.** When combined with increased staffing costs, leaner budgets, potential fines, and increased customer expectations and media scrutiny, the threat of outages makes managing weather events even more important.
To help you better anticipate these critical events and to understand their specific risks, at Schneider Electric, we offer our proven Energy Event Index forecasts. With them, you can make better-informed decisions that can save you significant expenses with mutual aid calls, and help avoid major public relations and regulatory headaches.
A “Smart” Approach to Big Data in the Energy IndustrySAP Analytics
http://spr.ly/AA_Utilities - Most companies in the oil and gas (O&G), utilities and chemical process industries benefit significantly from global markets; however, they also face pressures that demand instant response to fast-paced international events. Energy companies are using real-time data and analytics to solve key challenges in hotly competitive global markets.
-Bloomberg Businessweek Research
Case Study: It’s All About Data – And the CustomerJill Kirkpatrick
Utilities are unlocking the power of data by coordinating forms of information across organizational departments, applications and databases to personalize their services and put customer at the center of their businesses
Analytics is being used in data centers, buildings, and municipalities to provide streamlined, proactive services. The deeper understanding of daily operations that analytics provides enables companies and governments to address problems that stretch across their systems, and makes it easier for them to simplify infrastructures and reduce costs.
Using Data Science to Distribute Off Grid Solar PowerUNCDF CleanStart
In this session, Alexandre showcased the journey Fenix has undertaken on the path of utilization of data. On one hand, Fenix’s experience in novel areas the solar sector has informed the evolution of the way it handles data. For instance, the company realized over time that it is not only a solar product provider but also a financial service provider, as PAYGO was slowly embraced by their customers. On the other hand, real-time data the company collects reversely informs the expansion of its operations.
Advanced Management of Energy Operations is a software solution developed by Blacklight Analytics and dedicated to the advanced management of energy data and operations.
The solution collects and processes data from various sources and runs intelligent forecasting and decision-making algorithms to optimize the economic and technical operations of energy systems.
Weather, especially severe weather, can substantially impact your utility’s operations. Lightning can strike substations, high winds can bring down branches, ice can snap lines, and hurricanes in particular can be catastrophic. What’s more, each has the potential to leave thousands without power.
At Schneider Electric, we offer MxVision WeatherSentry Web Services to provide your utility with highly accurate weather observations and forecasts that support strategic operational decisions. This proven information is relied on by organizations worldwide to protect people, resources, and profitability. In addition, our forecasts have been ranked the most accurate in the industry for the last seven consecutive years, in an independent study.
We are only now beginning to understand how much AMI has changed and is continuing to change our world. This presentation will touch on the power of this AMI data, new tools we can create and the challenges we are facing to use this data. We will look at just a few of the new opportunities already being presented to us that we can use this data to take advantage of. Presented May 5, 2022
EPC Solutions LLP, which is into Large Scale Infra Projects (Metro, Airports, Stadiums & Other Mega Projects), Energy Solutions (EPC Solutions for Transmission & Distributed System upto 765kV, Contour & Route Survey, Soil Investigating etc.), Solar (EPC), Structure Supply - For Infra, Energy T&D & Solar Segment, MEP Services, SEZ & Other Consultancy Services, BIM Services (Upto LOD 500) & Geographical Information System, IT Services (Web Development, Software Solutions & Manpower Solutions).
EPC Solutions LLP, which is into Large Scale Infra Projects (Metro, Airports, Stadiums & Other Mega Projects), Energy Solutions (EPC Solutions for Transmission & Distributed System upto 765kV, Contour & Route Survey, Soil Investigating etc.), Solar (EPC), Structure Supply - For Infra, Energy T&D & Solar Segment, MEP Services, SEZ & Other Consultancy Services, BIM Services (Upto LOD 500) & Geographical Information System, IT Services (Web Development, Software Solutions & Manpower Solutions).
U.S. smart grid expenditures have been compromised largely of advanced metering infrastructure (AMI ) projects over the past five years. However, many utilities are now eager to fully optimize their systems with grid automation projects, which will allow them to fully realize the promise of the smart grid. Grid automation will create a much more reliable and efficient grid, enable optimization of thousands of grid-connected devices and distributed generation sources, and allow for faster outage recovery times.
Federal smart grid deployment targets, renewable portfolio standards, and the need to increase grid reliability have driven U.S. grid automation. However, as electricity markets open up in the U.S., grid automation projects will also be driven by a strong need to increase electric provider customer satisfaction.
As U.S. utilities embrace global standards such as IEC 61850, vendors with field proven grid analytics, advanced DMS, sensors, IEDs, and FLISR solutions will be best positioned in the market. The long-term result of such investments in grid automation will result in a significantly more reliable and efficient grid, higher utility customer satisfaction, and lower energy bills.
The major findings in this report show that a large majority of U.S. utilities are ready to take up the task of building a grid that meets the needs of tomorrow’s Connected Economy. However, utilities will need strong support from industry stakeholders (vendors, integrators, regulators, etc.) and electric customers to meet this goal.
Only 8–12% of customers report a power outage to their utility. Utilities that integrate Automated Metering Systems (AMI) data into outage management systems receive faster and more accurate reports about power outages, can better predict the extent of the outage, and more reliably verify service restoration. This paper discusses practical considerations when integrating AMI for outage management, including compliance testing, data quantity and quality, analysis issues, and best practices learned from experience.
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
Energy Event Index: Weather risk forecasts for power utilitiesSchneider Electric
Weather is the source of many of your most significant operational challenges. It not only causes outages that upset customers and inflicts damage to your infrastructure; it also impacts important decisions, such as offering mutual assistance to other organizations or requesting it for your own.
Weather-related outages are on the rise, increasing in frequency six fold over the last 20 years.* These outages cost the U.S. economy $20 to $55 billion a year.** When combined with increased staffing costs, leaner budgets, potential fines, and increased customer expectations and media scrutiny, the threat of outages makes managing weather events even more important.
To help you better anticipate these critical events and to understand their specific risks, at Schneider Electric, we offer our proven Energy Event Index forecasts. With them, you can make better-informed decisions that can save you significant expenses with mutual aid calls, and help avoid major public relations and regulatory headaches.
A “Smart” Approach to Big Data in the Energy IndustrySAP Analytics
http://spr.ly/AA_Utilities - Most companies in the oil and gas (O&G), utilities and chemical process industries benefit significantly from global markets; however, they also face pressures that demand instant response to fast-paced international events. Energy companies are using real-time data and analytics to solve key challenges in hotly competitive global markets.
-Bloomberg Businessweek Research
Case Study: It’s All About Data – And the CustomerJill Kirkpatrick
Utilities are unlocking the power of data by coordinating forms of information across organizational departments, applications and databases to personalize their services and put customer at the center of their businesses
Analytics is being used in data centers, buildings, and municipalities to provide streamlined, proactive services. The deeper understanding of daily operations that analytics provides enables companies and governments to address problems that stretch across their systems, and makes it easier for them to simplify infrastructures and reduce costs.
Using Data Science to Distribute Off Grid Solar PowerUNCDF CleanStart
In this session, Alexandre showcased the journey Fenix has undertaken on the path of utilization of data. On one hand, Fenix’s experience in novel areas the solar sector has informed the evolution of the way it handles data. For instance, the company realized over time that it is not only a solar product provider but also a financial service provider, as PAYGO was slowly embraced by their customers. On the other hand, real-time data the company collects reversely informs the expansion of its operations.
Advanced Management of Energy Operations is a software solution developed by Blacklight Analytics and dedicated to the advanced management of energy data and operations.
The solution collects and processes data from various sources and runs intelligent forecasting and decision-making algorithms to optimize the economic and technical operations of energy systems.
Weather, especially severe weather, can substantially impact your utility’s operations. Lightning can strike substations, high winds can bring down branches, ice can snap lines, and hurricanes in particular can be catastrophic. What’s more, each has the potential to leave thousands without power.
At Schneider Electric, we offer MxVision WeatherSentry Web Services to provide your utility with highly accurate weather observations and forecasts that support strategic operational decisions. This proven information is relied on by organizations worldwide to protect people, resources, and profitability. In addition, our forecasts have been ranked the most accurate in the industry for the last seven consecutive years, in an independent study.
We are only now beginning to understand how much AMI has changed and is continuing to change our world. This presentation will touch on the power of this AMI data, new tools we can create and the challenges we are facing to use this data. We will look at just a few of the new opportunities already being presented to us that we can use this data to take advantage of. Presented May 5, 2022
Implementing Oracle Utility-Meter Data Management For Power ConsumptionIJERDJOURNAL
ABSTRACT: In this digital mobile world, it‟s need of time to streamline and increase efficiency in business processes like effective data collection, measurement, automatic validation, editing and estimation of measurement data, analysis and dashboard for forecasting and ease in end user accessibility with Just in Time. This paper is following two methodology in this process. CEMLI is an extensive framework for developing and implementing for Oracle whereas OUM is business process and use case driven process which supports products, tool, technologies and documentation. This paper have focused on analytical data, system automation functionality along with prototype designing. For this, analysts and administrators will collect and define calculation rule for data collection and measurement, deployment methods, dashboards and security features. This paper gives measure understanding of cloud technologies and their features like services (SaaS), deployment methods, security and ability to reduce overhead cost, downtime, and automate business processes with 360 degree review and analysis. It consolidates data in one system with volumes of analog and interval data which facilitates new customer with offering and effective program. Also it maximizes return on investments and protects revenue through comprehensive exception management.
As many utilities have elected to deploy advanced metering systems and millions of new solid-state, microprocessor based end-points with communications under glass, a dramatic shift has begun regarding where metering resources are being deployed and what they are doing. This presentation will highlight the new value proposition for metering personnel at their respective utility companies in a post-AMI World. Examples of issues which have arisen or been identified over the course of various deployments and in the immediate aftermath of an AMI deployment. Presented by John Kretzschmar of SAMSCO on behalf of TESCO. 05/10/18.
Data Centers in the age of the Industrial InternetGE_India
The convergence of machine and intelligent data is known as the Industrial Internet, and it's changing the way we work by improving efficiency and operations.
In the age of the Industrial Internet, the data center and its key components are evolving.
To learn more, click here: http://invent.ge/1c8vfvO
To know more about GE in India log on to: http://www.ge.com/in/
Connect with GE India online:
https://www.facebook.com/GEIndia
https://www.twitter.com/GEIndia
https://www.youtube.com/GEIndia
Platforming the Major Analytic Use Cases for Modern EngineeringDATAVERSITY
We’ll describe some use cases as examples of a broad range of modern use cases that need a platform. We will describe some popular valid technology stacks that enterprises use in accomplishing these modern use cases of customer churn, predictive analytics, fraud detection, and supply chain management.
In many industries, to achieve top-line growth, it is imperative that companies get the most out of existing customer relationships. Customer churn use cases are about generating high levels of profitable customer satisfaction through the use of knowledge generated from corporate and external data to help drive a more positive customer experience (CX).
Many organizations are turning to predictive analytics to increase their bottom line and efficiency and, therefore, competitive advantage. It can make the difference between business success or failure.
Fraudulent activity detection is exponentially more effective when risk actions are taken immediately (i.e., stop the fraudulent transaction), instead of after the fact. Fast digestion of a wide network of risk exposures across the network is required in order to minimize adverse outcomes.
Supply chain leaders are under constant pressure to reduce overall supply chain management (SCM) costs while maintaining a flexible and diverse supplier ecosystem. They will leverage IoT, sensors, cameras, and blockchain. Major investments in advanced analytics, warehouse relocation, and automation, both in distribution centers and stores, will be essential for survival.
INTERNET OF THINGS (ONLINE ENERGY MANAGEMENT)FELIDAE SYSTEMS
We propose IOT based solution using which we monitor in real time basis (24x7).Online monitoring helps in remote diagnosis and possible suggested solution; as a result the work force will be targeted to the malfunctioning panel only with suggested solution. Reports can be generated online, and one can monitor anywhere and anytime the performance of electrical parameters by themselves.
As many utilities have elected to deploy advanced metering systems and millions of new solid-state, microprocessor based end-points with communications under glass, a dramatic shift has begun regarding where metering resources are being deployed and what they are doing. This presentation will highlight the new value proposition for metering personnel at their respective utility companies in a post-AMI World. Examples of issues which have arisen or been identified over the course of various deployments and in the immediate aftermath of an AMI deployment. 11/01/2018
As many utilities have elected to deploy advanced metering systems and millions of new solid-state, microprocessor based end-points with communications under glass, a dramatic shift has begun regarding where metering resources are being deployed and what they are doing. This presentation will highlight the new value proposition for metering personnel at their respective utility companies in a post-AMI World. Examples of issues which have arisen or been identified over the course of various deployments and in the immediate aftermath of an AMI deployment.
The need for a transition from a traditional maintenance practices to a dependency around data that uses analytics to alter maintenance practices has the potential to add value while creating new rewards and challenges to the utility world.
This presentation takes a look at how organizations are adopting analytics and business intelligence in order to increase responsiveness, reduce operational costs, and improve asset integrity-presented at NC Meter School 2022.
UT Meter Reading System is online mobile and web based application designed to help Power/Electric industry to streamline the process of collecting the readings of electric meters.
Similar to Managing the Meter Shop of the Future Through Better Tools and Information (20)
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Managing the Meter Shop of the Future Through Better Tools and Information
1. 1
Managing the Meter
Shop of the Future
through Better Tools
and Information
Prepared by Tom Lawton,TESCO
The Eastern Specialty Company
For CARILEC Engineering Conference
Tuesday, July 23, 2018 at 9:30 a.m.
2. 2
Introduction
This presentation examines how AMI data, the collection of this data
and the creation of tools to use of this data have dramatically changed
and is continuing to change metering operations. We will look at some
of the challenges we are facing as we learn how to do business most
effectively with this information and these tools.
3. 3
The Promise of AMI
The introduction ten years ago and the continued development of an
Advanced Meter Infrastructure (AMI) system promised more effective
and more efficient Meter Service Operations.
This was to be accomplished in a variety of
ways starting with:
• No need to read meters (if AMR had not previously
been deployed)
• No need to roll a truck to perform a disconnect or a
reconnect
• Better ability to detect and respond to outages
• Better ability to detect theft
• Better ability to detect (and eventually capture)
unbilled energy
• Better understand customer usage and make
better energy buying decisions
And with all of this came a promise of “Additional Capabilities and
additional Operating data.”
4. 4
A Flood of Data:
The Promise and the Curse of AMI
And so the data started coming in.
Once the investment in gathering
this data was made the problem
quickly moved from the collection of
this data to developing the tools and
infrastructure to analyze this
voluminous data.
There was far more data than could
be analyzed or even utilized at first.
5. 5
Moving Into the Future
Utilities now collect hundreds of millions of events and readings every
day from sources such as the following:
– Meters (status, manufacturer, purchase date, events such as reprogramming
notifications and tamper alerts)
– Transformers (ID, circuit section, circuit ID)
– Service points
– Customer accounts (type, status, billing cycle)
6. 6
What Data Are We Getting &
How Are We Using It?
• Meter quality assurance: Focusing on meter reading performance
enables utilities to ensure AMI reliability. For instance, when meter
readings are expected but not delivered, the system takes note, and
calculates overall performance statistics for the AMI system. Utilities
are made privy to problems they never would have been able to
identify in the past.
Good Start
7. 7
The Basics
• Outage event analysis and prevention: Integration enables real-
time, accurate, and complete outage event analysis that helps
identify nested outages and optimize field crew dispatch – all to
support efficient response and restoration.
– We can often determine the exact piece of equipment causing a problem, along
with the customers directly impacted by it.
– We can use outage information that is delivered along with meter readings to
identify and track outages.
– These outage event reports help us to understand the overall impact of outages,
then drill down to find the problem areas in the distribution network.
– We can then isolate areas of high impact and work to understand how to address
them.
8. 8
And of Course…Report!
• We can filter planned outages and momentary from this data for
reporting purposes and provide meaningful customer satisfaction
and performance measures and trends
• Average interruption durations
• Number of interruptions
• Number of customers impacted
• These system performance indexes and
information can be shared with
management, regulators, customers,
media, and other stakeholders.
9. 9
What Else?
• Gain a better understanding of events, as well as what they
mean. For instance, we can correlate power outage events
or voltage alarms with the transformers involved to identify
faulty or aging infrastructure. And we can roll trucks
between 8 AM and 4 PM, Monday to Friday on non-storm
days.
• Generate new customer insights
• Size distribution assets
• Implement preventive maintenance techniques
• Forecast and build predictive models for demand program
planning
• Develop new rate plans and services for customers
• Address Line Loss in a meaningful and impactful way
10. 10
Line Loss
• Network energy inventory balancing – You can accurately compare feeder
energy to aggregated meter data to track down unbilled energy. Some may
be energy theft. Some is not but is still actionable once the root cause can
be determined.
• Meter events and usage information can help paint an overall picture of
what’s happening with a customer’s energy usage over time as well as the
usage from an entire sub station. This unified view can help detect energy
theft, meter tampering or a host of equipment problems that may be
affecting service levels.
• Some typical filters for theft: Customers can be identified who have active
accounts but no recorded usage, or the converse – energy usage but no
active account. Customers with gas usage but no electrical usage over
months or even years, indicate a very likely candidate for investigation,
voltage issues for one customer and not others on the same transformer.
11. 11
What Else?
• Potentially bad metering
• Non metering of certain usage
• Failing equipment and bad connections
• Bad GIS integration and information. To make any of this work we
need an up to date and integrated geographic information system
(GIS) geodatabase. We need to be able to link our meters
accurately to the rest of the system along with every other piece of
equipment between the sub station and the meter. The initial
investigative work will uncover not system errors but GIS errors and
holes. Once corrected this work will begin to uncover correctible
losses.
12. 12
Longer Term Planning
• Load profiling – You have accurate and
highly granular transformer load profiles,
especially significant for effective
distribution planning when electric vehicle
(EV) charging and distributed generation
are involved. What will the impact on your
system be as isolated pockets of users
influence each other and purchase electric
vehicles; adopt home level energy storage
and renewable energy solutions.
• Pricing analysis – Perform ‘what if’ rate and
load shift analysis. Compare current tariffs
with alternative pricing scenarios. Estimate
energy costs for a new rate at different
load levels.
13. 13
What are Some of the Challenges in
Analyzing this “Flood of Data?”
The first issue is that currently data
required for complete meter data
analytics solution does not reside in the
same database. While there is
tremendous real time data being
collected the information required to
complete many types of analysis may
reside in other data bases (e.g. system
mapping data).
Another challenge is that while the MDM is configured as a “Fast Write” data
base, since it needs to quickly record large volumes of real-time meter
information, a useful analytics tool needs to be normalized for “Fast Reads,”
since it needs to provide fast access to data for users looking for real-time
insights.
14. 14
Additional Challenges?
• No impact on billing: Making sure that you can analyze the data in
the MDM system (the “system of truth”) without impacting basic
billing operations in any way. As important as meter data analytics
is, this capability cannot interrupt billing and other operational
systems in terms of performance, data corruption or functionality.
Bottom line: The analytics capability cannot threaten the utility’s
ability to collect revenues.
• Near real-time: Lastly, in order to retain its value to executives,
engineers and operational staff, data analytics need to be performed
in as near real-time as possible.
• The ultimate goal: To establish a repeatable data analytics
discipline and infrastructure to reduce the time, cost and complexity
of each incremental capability, and with the lowest risk possible to
the existing MDM functionality.
15. 15
How Should an “Analytics” Database
Be Set-Up?
The analytics database should use a different design that classifies the
attributes of an event into “facts,” which would include the data itself,
and “dimensions” that can give the facts context such as meters,
transformers, service points, customer accounts, register reads, billing
values, interval readings, register readings, missed reads, data quality
information and meter events.
Using a “Fast Read” design, the analytics database correlates
measured data (“facts”) along many “dimensions” (e.g., location, by
transformer, etc.) and stages them so that the data can be analyzed in
many ways.
This enables users to gain more understanding of events, as well as
what they mean. For instance, analysts can correlate power outage
events or voltage alarms (“fact”) with the transformers (“dimension”) to
identify faulty or aging infrastructure with a single simple calculation.
16. 16
New Skill Sets
• Utilities also need new skill sets to
be able to perform this analysis.
To use this data we need
– Data base experts
– Metering and operations experts
– Business analysts
In a perfect world all of these
characteristics are rolled up into one.
In a less perfect world into two. And is
an even less perfect world – three
individual groups or people. But too
many utilities are missing one or more
of these groups or people even after
completing their AMI deployment.
17. 17
New Tools for the Meter Shop and the Field
• Advanced functional test boards
• Better Meter Certification
capabilities and better meter
diagnostic capabilities
• Automated firmware and setting
comparison tools
• Site Verification equipment,
procedures and data
• …….and data
• …….and data
• …….and data
18. 18
New Tools for the Meter Shop and the Field
• Incoming Testing
• Site Verification
• Load Data Verification from the
field
• Automated firmware and setting
comparison tools
• …….and data
• …….and data
• …….and data
19. 19
New Tools
• Advanced visualization tools –
Built-in tools provide an
alternative to cumbersome data
tables and provide enhanced
visibility of your smart meters,
AMI network, and distribution
network
• AMI system health dashboards –
A custom definable user
interface enabling a visualization
of real-time events and trending
20. 20
Summary
• We are finding new uses for the data we are receiving as we continue to use these
systems.
• This data is enabling us to roll fewer trucks for emergencies
• This data is allowing us to identify weak spots in our infrastructure and correct them
between 8 AM and 4 PM Monday to Friday on non-storm days.
• The data is allowing us to perform long term planning and perform far better rate
analysis for proposed new tariffs and to even help create new tariffs.
• The data allows us to better evaluate performance of hardware on our infrastructure.
• The data gives us the tools for the first time to measure, identify, and go after “system
loss” in a meaningful and actionable way.
• Meter data analytics will enable utilities to tackle the biggest problems we face today,
including failing transformers, unbalanced energy generation based on imprecise
forecasts, operational inefficiencies and even addressing and reducing line loss.
• To do this we an analytics platform to allow us to provide the infrastructure to perform
this work, dedicated personnel with both new and old skill sets and new tools for them
to use.
• And to support all of this we need better tools in our shop to determine on the front
end that the equipment we are putting out there will perform as we expect, perform
advanced diagnostics in the shop when they do not and qualify of next generation
equipment to provide and more features in the future.
21. 21
Questions and Discussion
Tom Lawton
TESCO – The Eastern Specialty Company
Bristol, PA
1-800-762-8211
This presentation can also be found under Meter
Conferences and Schools on the TESCO web site:
www.tescometering.com