Short-Term Electricity Generation Forecasting Using Machine Learning Algorithms: A Case Study of the Benin Electricity Community (C.E.B)

Short-Term Electricity Generation Forecasting Using Machine Learning Algorithms: A Case Study of the Benin Electricity Community (C.E.B)

Time series forecasting in the energy sector is important to power utilities for decision making to ensure the sustainability and quality of electricity supply, and the stability of the power grid. Unfortunately, the presence of certain exogenous factors such as weather conditions, electricity pric...

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Bibliographic Details
Main Authors:	Agbassou Guenoupkati, Adekunlé Akim Salami, Mawugno Koffi Kodjo, Kossi Napo
Format:	Article
Language:	English
Published:	TIB Open Publishing 2021-06-01
Series:	TH Wildau Engineering and Natural Sciences Proceedings
Subjects:	Linear regression models Short-term forecasting Electric power generation Machine Learning Algorithms
Online Access:	https://www.tib-op.org/ojs/index.php/th-wildau-ensp/article/view/25

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