Time Series Analysis of Household Energy Using Recurrent Neural Network

Authors

  • Mohammed Nasih Ismael Geography Department, College of Arts, Kirkuk University, Iraq

Keywords:

Time Series, LSTM, RNN, Big Data

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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Published

2022-05-21

Issue

Section

Articles

How to Cite

Time Series Analysis of Household Energy Using Recurrent Neural Network. (2022). Eurasian Journal of Engineering and Technology, 6, 90-98. https://geniusjournals.org/index.php/ejet/article/view/1406