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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.

Keywords

Time Series LSTM RNN Energy

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Mohammed Nasih Ismael. (2022). Time Series Analysis of Household Energy Using Recurrent Neural Network. Texas Journal of Engineering and Technology, 8, 44–52. Retrieved from https://zienjournals.com/index.php/tjet/article/view/1591

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