Multi-Context-Recurrent Neural Network for Load Forecasting
نویسندگان
چکیده
A recurrent neural network is studied in this paper. A multi–context–recurrent neural network is defined and trained with back propagation, and is then applied to the short–term energy load forecasting task. The idea is to predict a daily maximum load for an arbitrary month ahead. A multi–context–recurrent neural network model was simulated and trained with different training sets to predict the daily maximum load. A multi-context-recurrent neural network is compared with the simple recurrent neural network, and the results are compared and discussed.
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