Design and Control of Smart Renewable Energy Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 2633
Special Issue Editors
Interests: electricity market; demand side management; data analytics; reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Interests: power system modeling and simulation; application of advanced computing; machine learning technologies in power systems
Special Issue Information
Dear Colleagues,
The development of next-generation smart grids, especially smart renewable energy systems, is key in achieving carbon neutrality. The progress of artificial intelligence (AI) technologies and other modern control methods has enabled the transition towards new kinds of smart renewable energy system design. On the other hand, the appropriate design and intelligent control of renewable energy systems can help us to extract high-value system operation data and guide the new paradigm of decision-making processes. This Special Issue is dedicated to research related to new kinds of design and control methods for general energy systems with renewable energy resources, AI-based control strategies, efficient optimization and control methods for system operation, renewable energy system infrastructure and data-driven smart decision-making methods.
General topics covered in this Special Issue include, but are not limited to, the following:
- Next-generation renewable energy system design;
- Control and energy management strategies;
- Uncertainty modeling of renewable energy systems;
- AI-based decision-making methods;
- Data analytics in renewable energy generation and consumption;
- Electrified transportation and renewable energy systems;
- Grid-interactive buildings with distributed renewable resources;
- Efficient optimization and control method for renewable energy systems;
- New equipment and devices for renewable energy resources;
- Policy and market mechanisms for renewable energy systems.
Dr. Tao Chen
Dr. Qiuhua Huang
Dr. Yingjun Wu
Guest Editors
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