Renewable Energy Power and Artificial Intelligence
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 17
Special Issue Editors
Interests: photovoltaic systems; forecasting for photovoltaic systems; photovoltaic/thermal systems; photovoltaic systems monitoring; fault detection in photovoltaic systems; distributed photovoltaic resources
Special Issues, Collections and Topics in MDPI journals
Interests: circuit analysis and modeling applied to power systems and power electronics; application of stochastic optimization, machine learning, and computational electromagnetics in the field of electronic and electrical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: solar energy and photovoltaic systems; numerical techniques for electromagnetic fields and circuits; optimization and inverse problems; artificial intelligence; renewable energy; electric vehicles; electrical power and energy systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing penetration of renewable energy sources (RESs) into modern power systems has raised both opportunities and challenges, such as variability, system optimization, and real-time control. Artificial Intelligence (AI) has emerged as a powerful tool to exploit opportunities while properly facing challenges. In particular, AI enables smart forecasting, effective energy management, fault diagnosis, predictive maintenance, and grid stability support.
The focus of this Special Issue is to foster state-of-the-art research and highlight the latest findings at the intersection of RES technologies and AI applications.
We welcome original contributions and review papers proposing new AI-based methods, including machine learning, deep learning, reinforcement learning, and hybrid methods, applied to photovoltaic systems, wind energy, energy storage, smart grids, and energy forecasting.
The main topics of interest for this Special Issue include, but are not limited to, the following:
- AI techniques for RES forecasting and optimization;
- Fault diagnosis and predictive maintenance using AI;
- AI for RES condition monitoring and lifetime extension;
- AI in power electronics for renewable integration;
- Intelligent control of distributed energy resources;
- Energy storage management through AI models;
- AI for RES and electric vehicle orchestration;
- AI for RES and demand response coordination;
- AI-enhanced DC power systems using RES;
- AI-driven smart grid for RES integration;
- Planning of green power networks using AI;
- Role of RES in AI carbon footprint mitigation.
This Special Issue is therefore intended to encourage academic and industrial researchers to present their latest findings on advanced technologies and theories, ideas, adequate models, approaches, tools, and solutions that may support AI in accelerating the digital revolution of the renewable energy sector.
Dr. Cristina Ventura
Dr. Santi Agatino Rizzo
Prof. Dr. Antonino Laudani
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. 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
- renewable energy sources
- artificial intelligence
- smart grids
- power systems
- forecasting
- optimization
- energy storage
- fault diagnosis
- demand response
- power electronics
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