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Applications of Artificial Intelligence in Electric Power Systems
This special issue belongs to the section “Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
The global energy transition has entered a critical period, driven by the "dual carbon" goals, and the demand for clean and intelligent new power systems is becoming increasingly urgent. Artificial intelligence technology, with its powerful data processing capabilities, has become a key technology for solving complex problems in the field of energy and power. From accurate prediction of new energy generation to intelligent dispatching of the power grid and from intelligent operation and maintenance of power equipment to intelligent energy use on the user side, artificial intelligence technology is deeply integrated into the entire energy production, transmission, and consumption chain, promoting the accelerated evolution of traditional power systems to new power systems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Electric power artificial intelligence;
- Electric power computer vision;
- Defect detection of transmission equipment;
- Defect detection of substation equipment;
- Defect detection of photovoltaic panels;
- Fault diagnosis of fan blades;
- Photovoltaic power prediction;
- Wind power prediction;
- Power load forecasting;
- Power Internet of Things technology.
We look forward to receiving your contributions.
Dr. Chaojun Shi
Dr. Yurong Guo
Dr. Shuoshi Li
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
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
- electric power artificial intelligence
- defect detection of power equipment
- new energy power prediction
- power internet of things technology
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