Demand forecasting in smart grids


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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@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} }