Machine learning prediction based integrated smart energy management system to improve home energy efficiency

Ahmed Al-Adaileh; Souheil Khaddaj

doi:10.1109/DCABES57229.2022.00042

Machine learning prediction based integrated smart energy management system to improve home energy efficiency

Kingston University

Research output: Contribution to conference › Paper › peer-review

Original language	English
DOIs	https://doi.org/10.1109/DCABES57229.2022.00042
Publication status	Published - 2022
Event	2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) - Chizhou, China Duration: 14 Oct 2022 → 18 Oct 2022

Conference

Conference	2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)
Period	14/10/22 → 18/10/22

Bibliographical note

Note: Published in: 2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science, ISBN 9781665454629, ISSN 2473-3636, pp. 1-4

Organising Body: IEEE

Keywords

Computer science and informatics

Access to Document

10.1109/DCABES57229.2022.00042

https://doi.org/10.1109/DCABES57229.2022.00042

1 Conference contribution

Machine learning prediction based integrated smart energy management system to improve home energy efficiency
Khaddaj, S. & Al-Adaileh, A., 2022, Published in: 2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science, ISBN 9781665454629, ISSN 2473-3636, pp. 1-4 Organising Body: IEEE Organising Body: IEEE. p. 119-122
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

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title = "Machine learning prediction based integrated smart energy management system to improve home energy efficiency",

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author = "Ahmed Al-Adaileh and Souheil Khaddaj",

note = "Note: Published in: 2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science, ISBN 9781665454629, ISSN 2473-3636, pp. 1-4 Organising Body: IEEE; 2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) ; Conference date: 14-10-2022 Through 18-10-2022",

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T2 - 2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

Y2 - 14 October 2022 through 18 October 2022

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