Open Access

EDITORIAL

Artificial Intelligence-Driven Advanced Wave Energy Planning and Control: Framework, Challenges and Perspectives

Bo Yang^1,*, Guo Zhou¹, Shuai Zhou², Yaxing Ren³

1 Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, China
2 Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, 1010, New Zealand
3 School of Engineering and Physical Sciences, University of Lincoln, Lincoln, LN6 7TS, UK

* Corresponding Author: Bo Yang. Email:

(This article belongs to the Special Issue: Artificial Intelligence-Driven Advanced Wave Energy Control Technology)

Energy Engineering 2025, 122(10), 3905-3915. https://doi.org/10.32604/ee.2025.069600

Received 26 June 2025; Accepted 29 July 2025; Issue published 30 September 2025

Abstract

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