We had made a working model on static VAR compensator which is made by power electronic switch and mechanically switched. We had chosen mechanically switched capacitor method to improved receiving end voltage as well as power factor.
What has the UK Asset Management Industry learned over past 25 years?seamsltd
We reflect on the past 10 years of regulated asset investment planning in the UK from 3 key sectors, Water, Road and Rail. Each highlights a different path taken with positives and negative results. At one end is UK regulated water industry which was one of the earliest, and still may be the largest, user of a strong regulated asset management framework with strong links from prices through to levels of service.We consider how the latest focus on Totex / Output Delivery Incentives will work. More recently the UK government has change its approach to asset management governance on the strategic roads network, an asset base valued as one of the top ten largest in the world. By introduction of a roads regulator and setting a new government owned company does this signal the intention to fully privatise the roads network and could this be a model adopted elsewhere?
Investment Planning: Meeting today's challenges and planning for the futureseamsltd
The Water industry is facing a plethora of challenges post price review - how can they address these and remain on plan to hit business KPIs during the next AMP period? This document discusses this issue.
Exploring a 10yr Analytics Journey to achieve Regulatory Success in the UK wa...seamsltd
SEAMS/Severn Trent Water case study on the success of using analytics, modelling and optimisation to achieve regulatory performance measures in the water sector.
IAM conference: asset vs portfolio modelling seamsltd
Presentation by April Hutchens of SEAMS and Jonathan Hagan of Severn Trent Water on asset vs portfolio centric investment modelling and the use of analytics from a practical point of view
SEAMS: Should I manage the assets or the projects?seamsltd
Jon Greensill recently presented at the Asset Management Ecosystem inaugural conference in Las Vegas. He looked at how asset level planning and project portfolio planning differ, and described the relative benefits of each approach. He explored how the latest asset analytics is making more detailed planning achievable and how a new approach has delivered excellent results for some of the largest utility companies in the world.
What is analytics and what does it mean in the context of Asset management (infrastructure and non infrastructure based). How can predictive and prescriptive analytics shape asset management planning.
ICON Water: Asset Management for Sewer Networksseamsltd
ICON Water presentation to the Water Services Association of Australia (Civil Assets Network) on the work they're doing with SEAMS and AECOM on modelling for Sewer Network Managment - a first for this sector in Australia.
Strategic and Tactical Planning in Workforce Managementseamsltd
The challenges and benefits of implementing strategic and tactical planning processes. Exploring how the principles of effective demand planning underpin a business’s strategy in meeting the needs of its stakeholders, employees and customers!
We had made a working model on static VAR compensator which is made by power electronic switch and mechanically switched. We had chosen mechanically switched capacitor method to improved receiving end voltage as well as power factor.
What has the UK Asset Management Industry learned over past 25 years?seamsltd
We reflect on the past 10 years of regulated asset investment planning in the UK from 3 key sectors, Water, Road and Rail. Each highlights a different path taken with positives and negative results. At one end is UK regulated water industry which was one of the earliest, and still may be the largest, user of a strong regulated asset management framework with strong links from prices through to levels of service.We consider how the latest focus on Totex / Output Delivery Incentives will work. More recently the UK government has change its approach to asset management governance on the strategic roads network, an asset base valued as one of the top ten largest in the world. By introduction of a roads regulator and setting a new government owned company does this signal the intention to fully privatise the roads network and could this be a model adopted elsewhere?
Investment Planning: Meeting today's challenges and planning for the futureseamsltd
The Water industry is facing a plethora of challenges post price review - how can they address these and remain on plan to hit business KPIs during the next AMP period? This document discusses this issue.
Exploring a 10yr Analytics Journey to achieve Regulatory Success in the UK wa...seamsltd
SEAMS/Severn Trent Water case study on the success of using analytics, modelling and optimisation to achieve regulatory performance measures in the water sector.
IAM conference: asset vs portfolio modelling seamsltd
Presentation by April Hutchens of SEAMS and Jonathan Hagan of Severn Trent Water on asset vs portfolio centric investment modelling and the use of analytics from a practical point of view
SEAMS: Should I manage the assets or the projects?seamsltd
Jon Greensill recently presented at the Asset Management Ecosystem inaugural conference in Las Vegas. He looked at how asset level planning and project portfolio planning differ, and described the relative benefits of each approach. He explored how the latest asset analytics is making more detailed planning achievable and how a new approach has delivered excellent results for some of the largest utility companies in the world.
What is analytics and what does it mean in the context of Asset management (infrastructure and non infrastructure based). How can predictive and prescriptive analytics shape asset management planning.
ICON Water: Asset Management for Sewer Networksseamsltd
ICON Water presentation to the Water Services Association of Australia (Civil Assets Network) on the work they're doing with SEAMS and AECOM on modelling for Sewer Network Managment - a first for this sector in Australia.
Strategic and Tactical Planning in Workforce Managementseamsltd
The challenges and benefits of implementing strategic and tactical planning processes. Exploring how the principles of effective demand planning underpin a business’s strategy in meeting the needs of its stakeholders, employees and customers!
Multicriteria and cost benefit analysis for smart grid projectsLeonardo ENERGY
Cost-Benefit Analysis (CBA) is a well-established technique for Decision-Making (DM) in companies recently applied to Smart Grid projects whose impact can span over the electrical power system borders and cannot be easily monetized. Therefore, CBA lacks in describing the smart grid potential and Multi-Criteria Analysis (MCA) has been introduced for improving DM. The Webinar covers DM fundamentals focusing on MCA and CBA. Pros, cons and research gaps of each technique are analysed with the aid of real-world examples. Finally, a novel implementation of MCA-CBA is proposed with particular reference to Smart Grid application as proposed by ISGAN Annex 3.
Taking Stock – 40 years of Industrial Energy AuditsLeonardo ENERGY
Industrial energy audits were amongst the first energy efficiency policy measures developed in response to the oil shocks of the 1970s. Since then they have become enormously popular in industrialised economies. In the EU they are mandatory for large organisations under the EU Energy Efficiency Directive. Developing countries are considering them as they scale up their own climate programmes.
So interest in audits can only grow. But, from a policy-maker’s perspective, do they work? How do they work? How could they work for me? Certainly, in principle, audits are extremely important because they get to the heart of how a company uses energy. But after 40 years, the scientific literature on audits is large and complex and difficult for the non-specialist policy-maker to wade though.
This webinar tell the story of audits in a way designed to cut through this complexity. It recounts the history of audits and sets out why they are important. It sets out some of the main features of successful audit programmes, and, from the practical experience of the speaker, how to go about putting one together. It then considers the main problems with audits and how these can be addressed. Finally the talk will look ahead to see how audits might evolve in the near future.
Taking Stock – 40 years of Industrial Energy Audits Leonardo ENERGY
Industrial energy audits were amongst the first energy efficiency policy measures developed in response to the oil shocks of the 1970s. Since then they have become enormously popular in industrialised economies. In the EU they are mandatory for large organisations under the EU Energy Efficiency Directive. Developing countries are considering them as they scale up their own climate programmes.
So interest in audits can only grow. But, from a policy-maker’s perspective, do they work? How do they work? How could they work for me? Certainly, in principle, audits are extremely important because they get to the heart of how a company uses energy. But after 40 years, the scientific literature on audits is large and complex and difficult for the non-specialist policy-maker to wade though.
This webinar tell the story of audits in a way designed to cut through this complexity. It recounts the history of audits and sets out why they are important. It sets out some of the main features of successful audit programmes, and, from the practical experience of the speaker, how to go about putting one together. It then considers the main problems with audits and how these can be addressed. Finally the talk will look ahead to see how audits might evolve in the near future.
Data Science Salon: Quit Wasting Time – Case Studies in Production Machine Le...Formulatedby
Presented by Yashas Vaidya, Sr Data Scientist at DataIku
Next DSS MIA Event - https://datascience.salon/miami/
The steps to taking a machine learning model to production. Modern architectures and technologies for building production machine learning. An overview of the talent and processes for creating and maintaining production machine learning.
The Benefits of Applying Lean Sigma for ServiceWillie Carter
Lean Six Sigma is a methodology that combines the principles of Lean manufacturing and Six Sigma quality management to improve efficiency, reduce waste, and enhance customer satisfaction in various organizations, including service organizations. While originally developed for manufacturing industries, Lean Six Sigma has been adapted and successfully applied in service sectors such as healthcare, finance, hospitality, and logistics.
The primary goal of Lean Sigma in service organizations is to identify and eliminate non-value-added activities, streamline processes, and enhance overall service delivery. It aims to create a customer-centric approach by focusing on customer requirements and continuously improving the quality and efficiency of services.
Lean Sigma utilizes a data-driven and systematic approach, incorporating various tools and techniques for problem-solving and process improvement.
By applying Lean Sigma principles in service organizations, companies can achieve benefits such as improved customer satisfaction, reduced lead times, increased productivity, enhanced quality, and cost savings. The methodology provides a structured framework to identify and eliminate waste, optimize processes, and deliver exceptional service to customers.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
1. Making Asset Management Active
with Analytics
1
April Hutchen a.hutchen@seamsltd.com
Phil McFarlane – Electricity North West
2. Agenda
• Benefits - why use Analytics?
• Overview of Analytics in Asset Management
• What is required?
• Dashboards, Reports & Visuals
• View from the industry
– Electricity North West’s journey
– ‘What if’ scenario modelling’
• Break-out Session - ‘what if’ questions
• Close
2
3. Benefits of Prescriptive Analytics
• 7-17% cost savings compared to a triggered or
prioritised approach to planning
• Defensible business plans & budgets
• Reduced planning costs
• Improved customer service levels
• Achieve key KPIs, both regulatory and non-regulatory, at
lowest whole life cost
3
5. What is needed?
1. Data – asset health, intervention (cost/benefit), faults, project
– Source systems, expert opinion, best practice and data infill
2. Way to analyse information
– spreadsheets, software, agreed processes
3. Business Objectives & KPIs – regulatory & non-regulatory
4. Business commitment & buy-in from key personnel
5. Means to understand and present the information
5
6. What is Analytics?
Analytics is the use of data to deliver insight & support better
decision making
• Analytics is a combination of mathematics & statistics, data techniques and
advanced algorithms to quantify and predict performance, risk, condition, service,
cost & revenue with rich data visualization to communicate insight
• Successful Analytics projects rely on the experience and expertise of specialists to
enable the organisation to understand their data, use it to generate value and
communicate effectively to stakeholders
6
7. 7
DESCRIPTIVE PREDICTIVE PRESCRIPTIVE
STRATEGICTACTICALOPERATIONAL
What happened to our assets
in the last 10yrs?
What happened to our assets
in the last year?
What is happening to our
assets today?
What will happen to our assets
in the next 25yrs?
What will happen to our assets
in the next year?
What will happen to our
assets tomorrow?
What are the future needs
of our assets?
What do we need to do to our
assets this year?
What activities do we need to
tomorrow?
• Historic asset trends
• Performance
• Reliability
• Utilisation
• Demand profiling
• Asset deterioration
• Forecasting Risk
• Sustainability
• Climate impacts
• Long term investment scenarios
• Financabilty
• Risk mitigation & management
• Revenue modelling
• Supply & Demand balancing
• Asset policy
• Customer trends & preferences
• Annual cost & revenue reporting
• Unit cost analysis
• Asset reliability & utilisation
• Root cause analysis
• Real time monitoring of assets
• Operational efficiency
• Early warning of faults
• Rapid response to asset issues
• Asset survey
• Reliability analysis
• Forecast annual performance
• Management account forecasts
• Resource gap identification
• Seasonal impacts
• Annual investment scenarios
• Annual targets
• Assets maintenance planning
• Asset utilisation planning
• Resource planning
• Contractor & purchasing planning
• Issue identification
• Hotspot analysis
• Client feedback analysis
• Peak demand forecasting
• Weather impacts
• Optimise proactive Investment
• Prioritise reactive Investment
• Job scheduling
• Customer notification process
Describing Analytics – Analytics Matrix
8. Definition of Prescriptive Analytics
• “…the application of logic and mathematics to data to specify a
preferred course of action. While all types of analytics ultimately
support better decision making, prescriptive analytics outputs a
decision rather than a report, statistic, probability or estimate of
future outcomes.”
• Gartner predicts that its use will grow from 10% of
organizations today using some form of prescriptive analytics to
35% by 2020, making it the fastest growing category of software.
8
15. ASKING THE RIGHT QUESTIONS
Electricity North West – Phil McFarlane
15
16. 16
Introducing Electricity North West
4.9 million
23 Terawatt
hours
2.4 million
£12 billion of network assets
56 000 km of network l 96 bulk supply substations
363 primary substations l 33 000 transformers
18. Electricity North West
• Began a journey 12 months ago to understand &
implement prescriptive analytics
• Started with a pilot looking at cross asset optimisation
across 4 asset classes
• Objectives of the pilot were to understand:
– Expected benefits of prescriptive analytics for a DNO
– Different optimisation techniques
– Benefits of refurbishment options versus replacement across
different asset types
– Savings that can be found compared to the current approach
– Run different investment planning ‘what if’ scenarios
18
19. Asking the right questions
Sample questions asked during the pilot:
1. Maintain current risk at least total cost. (Baseline scenario)
2. What is the optimal plan with a 5% reduction in expenditure?
3. What is the optimal plan with a risk reduction of 10%:
1. By asset category?
2. Across multiple asset classes?
4. What is the best risk score with an annual budget cap?
Constraints considered – budget, resource and skill availability
19
21. Group Workshop
• What would the most useful ‘what if’ questions be for
your business?
• Do you have the data and processes in place to look at
implementing analytics?
• Why?
21
22. Making Asset Management Active – in Summary
• Benefits - why use Analytics?
• Overview of Analytics in Asset Management
• What is required?
• Dashboards, Reports & Visuals
• View from the industry
– Electricity North West’s journey
– ‘What if’ scenario modelling’
Questions?
April Hutchen - a.hutchen@seamsltd.com
22
Editor's Notes
Pilot is mainly Capital Investment Decision Making. But (as you will see from Key Findings) it touched on Data Management, Supply Chain Management, etc.
If no client speaker, then a couple of Case Studies???
Regulated electricity distributor
Distribute > 23TWh of electricity annually
To 5 million people at 2.4 million premises
At 99.99% reliability
Using an £11G network;
56 000 km of network
96 bulk supply substations
363 primary substations
33 000 transformers