Abstract: Forecasting the electricity load demand is an important task in power utility companies because accurate load forecasting results are economic, reliable and secure power system operation and planning. Electricity demand forecasting is concerned with the prediction of a very short-term, medium-term and long-term load demand, depending on the time horizon. Short term load forecasting can help to estimate load flows and to make decisions that can prevent overloading. In this paper, a fuzzy logic approach for short term load forecasting is attempted. Time, temperature and humidity are used as the independent variables for short term load forecasting. The regression model that takes the weather parameters in winter season. The parameters of the model are estimated using static estimation algorithm and are used later to predict the load for twenty four hours ahead. The results obtained are discussed and conclusions are drawn. New fuzzy models are developed for crisp load power with fuzzy load parameters and for fuzzy load power with fuzzy load parameters. The fuzzy parameters are obtained for the model. s
Keywords: Load forecasting, short term load forecasting, Fuzzy logic, Fuzzy inference system Introduction.
Title: An Approach for Short Term Load Forecasting Using Fuzzy Logic
Author: Gurshan Singh Hans, Jagdeep kaur, Er . Simerpreet Singh
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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