Applications of Artificial Intelligence in the Novel Power System
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: 10 May 2025 | Viewed by 697
Special Issue Editors
Interests: artificial intelligence; topology optimization; numerical method; composite materials
Interests: novel power system; solid dielectrics; insulation breakdown; condition monitoring
Interests: data driven; physical–data fusion; thermal deformation; vibration reduction
Special Issues, Collections and Topics in MDPI journals
Interests: image/video restoration; image/video understanding; image/video coding
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The novel power system is a power system that deeply integrates new digital technologies with traditional technologies. Intelligence is an important feature of the novel power system. The intelligent management of power production and consumption is realized, and the response speed and efficiency of the system are improved through intelligent technology. Artificial intelligence technology provides an important driving force for an improvement in the quality and efficiency of the novel power system.
We are pleased to invite you to submit your original paper. This Special Issue aims to discuss artificial intelligence technology, novel power systems, wind turbine technology, renewable energy, and vibration and noise reduction in power systems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Artificial intelligence technology;
- Novel power system;
- Wind turbine technology;
- Renewable energy;
- Vibration and noise reduction in the power system;
- Condition online monitoring and fault warning of power system;
- Life prediction;
- Data mining;
- Reliability analysis;
- Wind turbine control algorithm;
- Adaptive learning;
- Adversarial network;
- Renewable energy consumption;
- Brain-like computing;
- Renewable energy generation and integration.
Dr. Haifeng Gao
Dr. Zerui Li
Prof. Dr. Xiangsheng Gao
Dr. Honggang Chen
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
- artificial intelligence
- novel power system
- data driven
- vibration and noise
- renewable energy
- reliability
- online monitoring
- brain-like
- wind turbine
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