Crowdsourcing Predictors of Residential Electric Energy Usage

8 Sep 2017Mark D. WagyJosh C. BongardJames P. BagrowPaul D. H. Hines

Crowdsourcing has been successfully applied in many domains including astronomy, cryptography and biology. In order to test its potential for useful application in a Smart Grid context, this paper investigates the extent to which a crowd can contribute predictive hypotheses to a model of residential electric energy consumption... (read more)

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