Fuzzy logic based Load Forecasting
نویسنده
چکیده
The dayahead short term load forecasting (STLF) is a necessary daily task for power dispatch. Short term load forecasting is essential for unit commitment, economic allocation of generation, maintenance schedules. This paper presents a solution methodology using fuzzy logic for short term load forecasting. Fuzzy logic approach is implemented on weather sensitive data and historical load data for forecasting the load. The proposed methodology uses fuzzy reasoning decision rules that capture the nonlinear relationships between inputs and outputs. The input data include historical load and hourly data like temperature, humidity and wind speed. The forecasted load results are obtained from fuzzy logic model using triangular membership function.
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