2015
DOI: 10.4236/sn.2015.44014
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Improved Short Term Energy Load Forecasting Using Web-Based Social Networks

Abstract: In this article, we are initiating the hypothesis that improvements in short term energy load forecasting may rely on inclusion of data from new information sources generated outside the power grid and weather related systems. Other relevant domains of data include scheduled activities on a grid, large events and conventions in the area, equipment duty cycle schedule, data from call centers, real-time traffic, Facebook, Twitter, and other social networks feeds, and variety of city or region websites. All these… Show more

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Cited by 5 publications
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