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: closed (10 May 2025) | Viewed by 1043
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Applied Sciences 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
- artificial intelligence
- novel power system
- data driven
- vibration and noise
- renewable energy
- reliability
- online monitoring
- brain-like
- wind turbine
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
