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In this paper, artificial neural network technique is implemented to predict weekend load. The performance of methodology is compared with the actual data received from a power station operating in northern region of India. This technique accurately forecast the hourly load for weekend days. Results obtained from training and testing of neural network confirms the validity of proposed methodology. In this approach demand sensitivity due to change in some weather variables such as temperature and humidity is also considered. The accuracy of proposed method is given in terms of Mean Absolute Percentage Error (MAPE). Keywords: Artificial Neural Network, (ANN), Back Propagation Algorithm (BPA), Short-Term Load Forecasting (STLF).

Load Forecasting For Weekend Load Using ANN Technique in Deregulated Environment