WNN implementation for forecasting electricity consumption This project proposes a method for forecasting the monthly electrical consumption is an attempt to optimize energy production by predicting the electricity consumption based on the past data by implementing the stochastic recurrent network. It implements DWT which is used to extract information from the signal in combination with Stochastic Recurrent Wavelet Neural Network (SRWNN) where the information is fed to predict the consumptions based on the past data signal.
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WNN implementation for forecasting electricity consumption
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