Machine learning based energy demand prediction

Machine learning based energy demand prediction

Energy demand prediction can benefit electricity consumers, distribution network service providers, and system operators. It heavily depends on auxiliary factors, such as weather parameters (e.g., ambient temperature), which makes this problem more complex. Moreover, for many industrial applications...

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Bibliographic Details
Main Authors: Ammar Kamoona, Hui Song, Kian Keshavarzian, Kedem Levy, Mahdi Jalili, Richardt Wilkinson, Xinghuo Yu, Brendan McGrath, Lasantha Meegahapola
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Energy Reports
Subjects:
Energy demand
Interpretable model
Machine learning
Linear regression
Polynomial regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723013975

Internet

http://www.sciencedirect.com/science/article/pii/S2352484723013975

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