Short Term Load Forecasting Using Artificial Neural Networks

Citation:
Ireri TG, Murage DK, Abungu NO. "Short Term Load Forecasting Using Artificial Neural Networks.". In: Mechanical Engineering Annual Conference. Juja; 2013.

Date Presented:

24 April

Abstract:

Load forecasting refers to the prediction of future load conditions based on present or historical data. This is important especially for transmission planning and economic dispatch. In this paper, an Artificial Neural Network (ANN) is trained using historical data for a sub-station at Ruiru, Kenya and the corresponding loading conditions for the sub-station are used to test its accuracy in forecasting the electrical load when given other parameters.

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