The Use of Smart Meter Data to Forecast Electricity Demand

نویسندگان

  • Armin Haghi
  • Oliver Toole
چکیده

Over the past years, smart meters have been widely deployed in many countries. These devices replace conventional electrical meters and are able to provide measurements for time intervals of typically less than one hour and can send these to the utility. This technology provides utilities a large amount of data and the opportunity to use this data to improve the way they run the grid. We want to explore some of the possibilities that this data offers, when combined with machine learning techniques.

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تاریخ انتشار 2013