Synergistic Artificial Intelligence framework for robust multivariate medium-term wind power prediction with uncertainty envelopes

This paper proposes an innovative framework for medium-term wind power forecasting, employing a robust, multi-module Artificial Intelligence approach to improve prediction accuracy and reliability over extended horizons. The framework consists of three key components: an internal–external learning p...

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Bibliographic Details
Main Authors: Bo Wu, Xiuli Wang, Bangyan Wang, Yaohong Xie, Shixiong Qi, Wenduo Sun, Qihang Huang, Xiang Ma
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Energy and AI
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266654682500045X
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