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Predicting energy Consumption using artificial neural networks: a case study of the UAE

May 30, 2018

DOI:

Published in: Electronic Journal of Applied Statistical Analysis

Shorouq F Eletter Ghaleb A El Refae Abdelhafid K Belarbic

Predicting energy consumption is very important for improving resource planning and for more efficient production. This study uses artificial neural network (ANN) models to predict energy consumption in the United Arab Emirates (UAE). The multilayer perceptron model (MLP) and Radial Basis Function (RBF) were used for this purpose. Historical input and output data related to the long-term energy consumption in the UAE were used for training, validation, and testing. The developed neural network models were compared to find the most suitable model with high accuracy.

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