Moroccan long term electricity demand forecasting using Wavelet neural Networks

This article aims at developing long term electricity forecasts for Morocco, using Non Linear Autoregressive model (NLARX) based on a special class of Artificial Neural Networks (ANN), namely Wavelet Networks. This model provides more accurate forecasting results thanks to the nature of the used neural networks structure that has been developed in other fields. The obtained results will help design adequate strategies in order to meet the electricity demand with the most optimal energy mix and to evaluate the financial support, if needed, to state electricity companies that generally overestimate their needs to get more financial support from the government. For investors, reliable electricity forecasting constitutes one of the most important parameters that allow evaluating the viability of their investments.