AI-Enhanced Operation and Management of Renewable Energy-Integrated Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 317
Special Issue Editors
Interests: power system; renwable energy integration; AI; cyber-physical security; climate resilience; risk management
Special Issues, Collections and Topics in MDPI journals
Interests: power flow control; integrated energy system; stability analysis and control
Special Issue Information
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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Keywords
- advanced AI applications
- AI-enhanced operation and management methods
- large-scale renewable energy integration
- multi-energy coupling and coordination
- demand-side management and demand response
- real-time monitoring and analytics
- cyber–physical security and resilience
- risk assessment and management
- distributed generation and microgrid operation
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