Time Series Analysis of Household Energy Using Recurrent Neural Network
| dc.contributor.author | Mohammed Nasih Ismael | |
| dc.date.accessioned | 2026-01-01T10:46:40Z | |
| dc.date.issued | 2022-05-13 | |
| dc.description.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. | |
| dc.format | application/pdf | |
| dc.identifier.uri | https://zienjournals.com/index.php/tjet/article/view/1591 | |
| dc.identifier.uri | https://asianeducationindex.com/handle/123456789/60550 | |
| dc.language.iso | eng | |
| dc.publisher | Zien Journals | |
| dc.relation | https://zienjournals.com/index.php/tjet/article/view/1591/1322 | |
| dc.rights | https://creativecommons.org/licenses/by-nc/4.0 | |
| dc.source | Texas Journal of Engineering and Technology; Vol. 8 (2022): TJET; 44-52 | |
| dc.source | 2770-4491 | |
| dc.subject | Time Series | |
| dc.subject | LSTM | |
| dc.subject | RNN | |
| dc.subject | Energy | |
| dc.title | Time Series Analysis of Household Energy Using Recurrent Neural Network | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Peer-reviewed Article |
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