Demand forecasting in smart grids

Abstract

Data analytics in smart grids can be leveraged to channel the data downpour from individual meters into knowledge valuable to electric power utilities and end-consumers. Short-term load forecasting (STLF) can address issues vital to a utility but it has traditionally been done mostly at system (city or country) level. In this case study, we exploit rich… (More)
DOI: 10.1002/bltj.21650

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Cite this paper

@article{Mirowski2014DemandFI, title={Demand forecasting in smart grids}, author={Piotr W. Mirowski and Sining Chen and Tin Kam Ho and Chun-Nam Yu}, journal={Bell Labs Technical Journal}, year={2014}, volume={18}, pages={135-158} }