A Survey on Electric Power Demand Forecasting

نویسندگان

چکیده

Recently there has been tremendous change in use of the forecasting techniques due to increase availability power generation systems and consumption electricity by different utilities. In field it is important have accurate model avoid losses. With current development era smart grids, integrates electric generation, demand storage, which requires more precise techniques. This paper relates most relevant studies on forecasting, presents models. proposes a novel approach using machine learning for forecasting.

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ژورنال

عنوان ژورنال: Advances in parallel computing

سال: 2021

ISSN: ['1879-808X', '0927-5452']

DOI: https://doi.org/10.3233/apc210236