AI-Empowered Decarbonization for Modern Power Grids
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 131
Special Issue Editors
Interests: solar forecasting; photovoltaics; machine learning; smart grids
Special Issues, Collections and Topics in MDPI journals
Interests: synergy of transportation system and power system; transportation electrification; energy storage and management
Special Issue Information
Dear Colleagues,
Achieving carbon neutrality has become a global goal to limit continuously rising global temperatures. Among various industries, the power sector plays a crucial role as it serves both as an engine for economic development and as a major source of carbon emissions. Thus far, countries have implemented significant measures to promote the low-carbon transformation of their power systems, such as increasing renewable energy penetration into the grid, promoting electric vehicle and energy technologies, implementing carbon emission trading markets, etc. Moving forward, however, modern power system decarbonization may face pressure from complex energy and social systems. This point considered, artificial intelligence technologies have the potential to enable a more efficient, reliable, and economical transition toward the implementation of low-carbon smart grids.
This Special Issue will collect emerging research achievements within the field of artificial intelligence’s application for power system decarbonization. Prospective authors are invited to submit original contributions or survey papers for peer review for publication in Electronics. Topics of interest for the Special Issue include, but are not limited to, the following:
- Low-carbon power system optimization and operation;
- Vehicle-to-grid technologies;
- Renewable energy integration;
- Virtual power plant technologies;
- Intelligent power system control methods;
- Data-driven power system modelling and monitoring theories;
- Integrated energy systems;
- Electricity and carbon markets;
- Energy internet.
Dr. Xiaoyang Chen
Dr. Chaoxian Wu
Dr. Zhong Zhang
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 2400 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.
Keywords
- power system decarbonization
- smart grid
- artificial intelligence
- renewable energy
- electric vehicles
- energy storage
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