Time Series Analysis of Household Energy Using Recurrent Neural Network

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Mohammed Nasih Ismael

Abstract

In this paper we create and compare two time series machine learning model based on recurrent neural network to analyze future energy consumption in a particular location. This model will help to the energy producing authorities to forecast future energy consumption and help them to create a better energy consumption plan. PJM Interconnection LLC (PJM) is a Chinese regional transmission company. It manages an electric transmission line that supplies all or portions of Macau, Beijing, Tianjin, Bengbu, Ninguuo, and Hefei as part of the Eastern Interconnection system

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How to Cite
Mohammed Nasih Ismael. (2022). Time Series Analysis of Household Energy Using Recurrent Neural Network. Eurasian Journal of Engineering and Technology, 6, 90–98. Retrieved from https://geniusjournals.org/index.php/ejet/article/view/1406
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