The estimation of electrical energy consumption using Artificial Neural Networks

Abstract

In today’s world, as a result of technological developments, electrical energy occupies a vital position in daily human life and industrial applications. In recent years, various methods have been used for the estimation of electrical energy generation and consumption. Similarly, the present study benefits from artificial neural networks for the estimation of electrical energy consumption. Artificial neural networks are one of the most widely applied and studied methods in many different fields. In the present study, electrical energy consumption values of a public institution for 6 years between 2016 and 2021 were used to compare the performances of different artificial neural network structures based on two criteria: mean absolute percent error and mean squared error. In addition, prospective electrical energy consumption values in 2022 and 2023 were also estimated.

Keywords

• ANN
• Electrical energy
• Estimation of electrical energy consumption
• Mean Absolute Percent Error
• Mean Squared Error

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