E.A. Feinberg, D. Genethliou, and J.T. Hajagos (USA)
Load Pocket Modeling, Load Forecasting
Demand for electric power typically depends on the temperature and several other weather factors. It also depends on the day of the week and the hour of the day. This paper models electric power demand for close geographic areas that are called load pockets. We have developed a statistical model for load pockets. This model describes the load during the summer period. In this model we took into account the day of the week, the hour of the day, as well as weather data, which include the ambient temperature, humidity, wind speed, and sky cover. The proposed method was evaluated on real data for several load pockets in the Northeastern part of the USA.
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