Wind power forecasting based on a novel time series Dynamic context-aware power forecasting model

Jan Yasir, Yong Wang, Sydney Mutale, Saeed Ahmed, Ishwor KC, School of New Energy, North China Electric Power University, PR China, Balochistan Residential College Turbat, Ministry of Education, School of Engineering, University of Zambia, Government Degree College Buleda, Ministry of Education

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy

Published online on February 02, 2026

Abstract

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Ahead of Print.
Wind energy is an emission free low-carbon energy source that has employed great advances in technology in recent years. The unpredictable and random characteristics of wind, including variables like wind speed, direction, barometric pressure and ...