AI-Enhanced Operation and Management of Renewable Energy-Integrated Power Systems

Dear Colleagues,

In the face of the accelerating integration of large-scale renewable energy sources, the operation of modern power systems must adapt to maintain stability, reliability, and economic viability. As more wind, solar, and other renewables join the grid, operators confront fluctuating power generation and limited traditional dispatchable resources. Real-time monitoring, forecasting, and advanced control have become essential for handling intermittency and ensuring power quality. Although the modernization of grid infrastructure enables flexible load management and encourages new regulatory and market frameworks, digitization introduces potential vulnerabilities, underscoring the importance of basic cyber–physical security measures.

This Special Issue addresses these evolving challenges by showcasing state-of-the-art research in AI-enhanced power system operation and management with renewable energy integration technology. Through this collection of cutting-edge studies, the Special Issue aims to foster a deeper understanding of advanced operational and managerial methodologies, thereby accelerating the global transition toward a cleaner, more efficient, and resilient energy future.

Dr. Jiaqi Ruan
Dr. Yujia Huang
Dr. Chao Yang
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.