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What is Forecasting The Heating and Cooling Load of Residential Buildings about?

This study aims to predict the heating and cooling loads of residential buildings in Agadir, Morocco, using an artificial neural network (ANN) with six input variables. The ANN was trained on a dataset generated from parametric analysis, achieving an accuracy of 98.7% for predictions. The research highlights the importance of energy demand forecasting for improving energy efficiency in buildings.

Author

gidone3473

Language

EN