The document discusses the challenges utilities face in managing the vast amounts of data generated by smart meters. It covers three main points:
1) Smart meters will generate huge volumes of interval data that utilities are not prepared to manage, process, or store. Each meter could generate over 8,000 data points per year.
2) Utilities face major IT challenges in collecting, transporting, processing, storing, and accessing this meter data in a timely manner. They must also address data security issues and integrate new and old systems.
3) New technologies like IBM Informix's TimeSeries feature can help utilities more efficiently manage smart meter data by reducing storage needs by 50% and improving query performance up to 60 times
Smart Meter's are a part of Smart Grid,which display the consumption of electricity to end use customer as well as communicate to the utility side for demand side management.
Smart Meter's are a part of Smart Grid,which display the consumption of electricity to end use customer as well as communicate to the utility side for demand side management.
An advanced meters which performs smart functions to simplify the billing procedure and to modernize the grids which can be very helpful to the electricity providers and consumers in future. These meters simplifies the tampering and other non technical problems and also offers accurate electricity bills to consumers which avoids paying of high electricity bills.
An electricity meter is a device for measuring the amount of
electrical energy used by consumers. Where electricity
companies install these meters at every subscriber, such as
homes, factories, administrative and government buildings and...,
after the electrical network is connected to their units to supply
loads such as lighting systems, fans, adaptations, office
appliances and any other equipment with electricity .
These meters may be mono or three-phase depending on the
nature of the contracted loads and electrical power. They may
also be connected directly to the electrical network or be
connected through auxiliary transformers ( current and / or
voltage transformers)
A smart meter is an electronic device
that records information such as
consumption of electric energy, voltage
levels, current, and power factor. Smart
meters communicate the information to
the consumer for greater clarity of
consumption behavior, and electricity
suppliers for system monitoring and
customer billing.
Smart Grid is an automated, widely distributed energy delivery network characterized by a two-way flow of electricity and information, capable of monitoring and responding to changes in everything from power plants to customer preferences to individual appliances.
Now in day to day life we have seen that every thing is in digitilized form so this this presentation is ol about the evolution of meter into automatic meter with many technologies.
Its quiet intresting topic and very vast topic too.
advanced metering infrastructure, advanced meter reading, internet of Things, WiMax, LTE, smart meter analytics, smart meter communication technologies, LTE advanced, WiFi, smart meter architectural blueprint
More details: (blog: http://sandyclassic.wordpress.com ,
linkedin: ie.linkedin.com/in/sandepsharma/)
The fact that a Meter Data Management (MDM) system is the single, secure repository for the millions of data points collected by an AMI makes it the logical solution for data analytics such as validation, editing and estimation that improve the accuracy of billing information. Yet, as a single-source system of record, the MDM also is the starting point for integration of meter-read data with other enterprise systems to improve real-time efficiency of network operations and business processes.
The MDM with meter modelling components and standardized connectivity can integrate with the utility geodatabase (GIS) and outage management system (OMS) to significantly streamline outage detection and restoration verification.
MDM integrated with the utility supervisory control and data acquisition (SCADA) system or distribution management system (DMS) allows comparison of information at substation/net-stations with aggregated meter data to detect potential theft or network loss during distribution. Similar aggregate comparison helps analyse power quality, identify demand trending and forecast demand. These network analysis capabilities empower accurate asset planning and the utility’s ability to meet demand without adding more capacity.
In all of these enterprise-level functions, MDM integration with the GIS provides valuable visualization that facilitates operator and analyst identification of areas of concern or opportunity.
The real-time network intelligence possible with such a powerful MDM solution can return substantial benefits to several utility operations and business processes — well beyond the initial-level billing accuracy improvement.
An advanced meters which performs smart functions to simplify the billing procedure and to modernize the grids which can be very helpful to the electricity providers and consumers in future. These meters simplifies the tampering and other non technical problems and also offers accurate electricity bills to consumers which avoids paying of high electricity bills.
An electricity meter is a device for measuring the amount of
electrical energy used by consumers. Where electricity
companies install these meters at every subscriber, such as
homes, factories, administrative and government buildings and...,
after the electrical network is connected to their units to supply
loads such as lighting systems, fans, adaptations, office
appliances and any other equipment with electricity .
These meters may be mono or three-phase depending on the
nature of the contracted loads and electrical power. They may
also be connected directly to the electrical network or be
connected through auxiliary transformers ( current and / or
voltage transformers)
A smart meter is an electronic device
that records information such as
consumption of electric energy, voltage
levels, current, and power factor. Smart
meters communicate the information to
the consumer for greater clarity of
consumption behavior, and electricity
suppliers for system monitoring and
customer billing.
Smart Grid is an automated, widely distributed energy delivery network characterized by a two-way flow of electricity and information, capable of monitoring and responding to changes in everything from power plants to customer preferences to individual appliances.
Now in day to day life we have seen that every thing is in digitilized form so this this presentation is ol about the evolution of meter into automatic meter with many technologies.
Its quiet intresting topic and very vast topic too.
advanced metering infrastructure, advanced meter reading, internet of Things, WiMax, LTE, smart meter analytics, smart meter communication technologies, LTE advanced, WiFi, smart meter architectural blueprint
More details: (blog: http://sandyclassic.wordpress.com ,
linkedin: ie.linkedin.com/in/sandepsharma/)
The fact that a Meter Data Management (MDM) system is the single, secure repository for the millions of data points collected by an AMI makes it the logical solution for data analytics such as validation, editing and estimation that improve the accuracy of billing information. Yet, as a single-source system of record, the MDM also is the starting point for integration of meter-read data with other enterprise systems to improve real-time efficiency of network operations and business processes.
The MDM with meter modelling components and standardized connectivity can integrate with the utility geodatabase (GIS) and outage management system (OMS) to significantly streamline outage detection and restoration verification.
MDM integrated with the utility supervisory control and data acquisition (SCADA) system or distribution management system (DMS) allows comparison of information at substation/net-stations with aggregated meter data to detect potential theft or network loss during distribution. Similar aggregate comparison helps analyse power quality, identify demand trending and forecast demand. These network analysis capabilities empower accurate asset planning and the utility’s ability to meet demand without adding more capacity.
In all of these enterprise-level functions, MDM integration with the GIS provides valuable visualization that facilitates operator and analyst identification of areas of concern or opportunity.
The real-time network intelligence possible with such a powerful MDM solution can return substantial benefits to several utility operations and business processes — well beyond the initial-level billing accuracy improvement.
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.
Every week I created this newsletters and sent it out to thousands of subscribers using Constant Contact. I managed the rotation of some content, worked with authors in order to get other content, and on occasion was asked to write something for the newsletter. I learned a lot through the journey of sending these weekly newsletter over the course of 2.5 years (which means I coordinated around 120 weekly newsletters).
Oplægget blev holdt ved InfinIT-arrangementet "Temadag om værdikæder i netværk og plug'n play supply chains" afholdt den 1. november 2011.
Læs mere på http://infinit.dk/dk/hvad_kan_vi_goere_for_dig/viden/reportager/grib_chancen_nu.htm
BI 101 Presentation and examples of some of my work. Background information on Business Intelligence; BI Tool and Vendor Analysis; Current/Upcoming technology we are exploring and hope to leverage in the near future
This presentation was given as part of the April 21, 2010 Northwest Clean Energy Resource Team meeting on Smart Grid Technology in Northwest Minnesota.
Corporations are often hampered in responding quickly to customer needs by their legacy systems. Analyzing that complexity and linking it to customer visible change can free them to respond.
Hadoop World 2011: Large Scale Log Data Analysis for Marketing in NTT Communi...Kenji Hara
In this session we will talk about how we built a log analysis system for marketing using Hadoop, which explore the internet users' interests or feedback about specified products or themes from access log, query/click log and CGM data. Our system provides three features, which are 1) sentiment analysis, 2) co-occuring keyword extraction, and 3) user interests estimation. For large scale analysis, we use Hadoop with customized functions, which push down the shuffle size by amplifying map-side processing. We also show the features of our Hadoop cluster.
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3. Today’s Presenters
Jill Feblowitz,
Vice President, Utilities and Oil and Gas,
IDC Energy Insights
Kevin Brown,
Chief Architect,
IBM Informix Database