Abstract
Accurate models for electric power load forecasting are essential for the operation and planning of electricity in the energy management system (EMS). Load forecasting helps an electric utility to make important decisions for generation of electric power and consider economic factor. Statistical analysis of load and its frequency response is an accepted diagnostic tool for load forecast. The paper brings out the procedure and methodology to generate desired data for use in load forecasting. In the present work the load data obtained from a typical 33 kV Gas Insulated Substation (GIS) is analyzed for various statistical parameters. It was also examined if these parameters give adequate information for future load prediction. The other parameter considered is the Frequency Response (FR) of the load. The paper examines the effectiveness of the above data for prediction of load in GIS system.
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