Meter data analytics

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Meter Data Analytics refers to the analysis of data emitted by electric smart meters that record consumption of electric energy. Replacement of traditional scalar meters with smart meters is a growing trend primarily in North America and Europe. These smart meters send usage data to the central head end systems as often as every minute from each meter whether installed at a residential or a commercial or an industrial customer.

Analyzing this voluminous data is as crucial to utility companies as collecting the data itself. Some of the major reasons for the analysis are 1) to make efficient energy buying decisions based on the usage patterns, 2) launching energy efficiency or energy rebate programs 3) energy theft detection, 4) comparing and correcting metering service provider performance, and 5) detecting and reducing unbilled energy. This data not only helps utility companies make their businesses more efficient, but also helps consumers save money by using less energy at peak times. So, it is both economical and green. Smart meter infrastructure is fairly new to Utilities industry. As utility companies collect more and more data over the years, they may uncover further uses to these detailed smart meter activities. Similar analysis can be applied to water and gas as well apart from electric usage.

Major Meter Data Analytics solution providers in the market are

1) Oracle Utilities Meter Data Analytics Provides an efficient mechanism to extract high volume smart meter data out of meter data management systems in order to analyze the data without affecting the transactional system. It also provides comprehensive list of high level and detailed dashboards for usage patterns, head end system performance, meter installs, theft detection, vee exception analysis, and tamper event analysis.

2) eMeter Analytics Foundation Covers AMI health, outage and event analysis and load monitoring.

3) DataRaker Operates on a SaaS model to provide analytics based on utilities data. Has been bought by Oracle in 2012.[1]

Challenges of Meter Data Analytics[edit]

According to Smart Grid Update [2] currently data that is required for complete meter data analytics solution does not reside in the same database, instead, resides in disparate databases among various departments of utility companies. Another challenges is that Meter Data Analytics need to deal with big data problem. Many utility companies do not have infrastructure to support such needs.


References[edit]

See also[edit]

Meter Data Management
Automatic meter reading
Advanced Metering Infrastructure
Smart Grid
Smart meter