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- W2907938777 abstract "Recently, the electrical demand in Morocco has become more and more in evolution and the electrical sector has changed mainly with the introduction of new energy producers. That’s why an accurate long term demand forecasting is necessary for the study and the planning of the electrical network and the power system especially with the integration of renewable energies. In order to predict the electrical demand in Morocco, two models for forecasting have been compared in this article; the multiple linear regression and artificial neural networks. The performance of the models was measured using the coefficient of determination (R2), the root mean square error (RMSE) and the mean absolute percentage error (MAPE). Even more, the forecasts made with these models were compared to certain available national forecasts." @default.
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- W2907938777 date "2018-01-01" @default.
- W2907938777 modified "2023-09-27" @default.
- W2907938777 title "Forecasting Electrical Demand in Morocco Using the Multiple Linear Regression and Artificial Neural Networks" @default.
- W2907938777 doi "https://doi.org/10.2139/ssrn.3178721" @default.
- W2907938777 hasPublicationYear "2018" @default.
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