Computational Intelligence for Prediction of Electrical Load
نویسندگان
چکیده
Load forecasting is important for safe and cost-effective operation of recent power utilities. It helps in taking many decisions regarding energy purchasing and generation, maintenance, etc. Further, load forecasting provides information which is able to be used for energy interchange with other utilities. Over the years, a number of methods have been proposed for load forecasting. This paper focuses on short term load forecasting by using a hybrid model of neural networks and fuzzy logic. Mean absolute percentage error is computed and compared.
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