Renewable Energy Power and Artificial Intelligence

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 250 words) can be sent to the Editorial Office for assessment.

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.