Statistical Load Modeling

E.A. Feinberg, D. Genethliou, and J. T. Hajagos (USA)


Load Pocket Modeling, Load Forecasting


In this paper we discuss the improvement of the statistical model that was developed in [1] by adding a new weather variable called sunshine. We also took into account other weather factors such as ambient temperature, humidity, wind speed, and sky cover as well as time factors such as the day of the week and the hour of the day. We developed a statistical model that describes the electric power demand during a summer period for close geographic areas that are called load pockets. The proposed method was evaluated on real data for several load pockets in the Northeastern part of the USA.

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