Wind power forecasting and economics of energy arbitrage in electricity market using machine learning techniques

Abstract The sustainability of the electricity market relies on enhanced forecasting of renewable energy sources combined with energy storage arbitrage. This paper introduces a bi-level approach with a novel contribution to wind farms and energy storage to generate maximum revenue in the day-ahead (...

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Bibliographic Details

Published in:	Discover Sustainability
Main Authors:	Tirunagaru V. Sarathkumar, Arup Kumar Goswami, Hassan Abdurrahman Shuaibu, Taha Selim Ustun
Format:	Article
Language:	English
Published:	Springer 2025-09-01
Subjects:	Energy arbitrage Wind power forecast (WPF) Long-short-term-memory Energy storage Recurrent neural network
Online Access:	https://doi.org/10.1007/s43621-025-01274-x