Renewable Energy System Forecasting and Maintenance Management
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".
Deadline for manuscript submissions: 10 October 2025 | Viewed by 45
Special Issue Editors
Interests: renewable energy; machine learning structural health; monitoring; maintenance; electronics; condition monitoring; acoustic emission
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The growing demand for novel sustainable energy solutions has led to significant advancements in Renewable Energy System Forecasting and Maintenance Management. Maximizing energy production and reducing maintenance downtime is essential to ensure the reliability and efficiency of renewable energy sources such as wind, solar photovoltaic, hydropower and others.
One of the major difficulties in renewable energy systems is the accurate prediction of power production. This operation is currently a challenge since it depends on many variables including equipment performance, grid demand, and weather, among others. Recently developments in artificial intelligence (AI), machine learning, and large data analytics have greatly improved forecast accuracy. These enhancements allow for more efficient energy storage and improved grid integration, defining novel predictive maintenance approaches that enable early fault detection and enhance general system efficiency.
Maintenance management is another critical field since it is essential for the long-term viability of renewable energy projects. Vibration analysis, thermal imaging, and electrical signature analysis among condition monitoring methods are some of the most relevant techniques for real-time structural health monitoring. Advanced digital twin models and IoT-based remote monitoring help even more with maintenance planning, reducing operational costs, and increasing the life of important elements.
This Special Issue will investigate some of the most recent developments in monitoring renewable energy systems and management of maintenance, covering the following topics:
- AI-driven forecasting models for renewable energy systems;
- Condition monitoring and predictive maintenance techniques;
- Fault detection and fault-tolerant design for wind and solar energy conversion systems;
- Optimization of rotating electric machines for renewable energy applications;
- Digital twin and IoT-based remote monitoring solutions;
- Advanced modelling, control strategies, and reliability analysis.
It is possible to enhance the performance, reliability, and sustainability of renewable energy systems by encouraging new approaches in forecasting and maintenance, supporting the global transition toward a greener and more resilient energy future.
Dr. Carlos Quiterio Gómez Muñoz
Dr. Isaac Segovia Ramírez
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. Energies 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 2600 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 systems
- energy forecasting
- predictive maintenance
- condition monitoring
- fault detection and diagnosis
- rotating electric machines
- wind energy conversion systems
- solar energy management
- artificial intelligence in energy systems
- machine learning for energy forecasting
- digital twin technology
- IoT-based energy monitoring
- grid integration of renewables
- power electronics for renewable energy
- reliability and fault-tolerant design
- vibration and thermal analysis
- energy storage optimization
- big data in renewable energy
- smart grid and renewable energy
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
