Recent Advances in Renewable Energy Systems: Integration Challenges, Forecasting, and Grid Optimization for Sustainable Energy Management
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 99
Special Issue Editor
Interests: statistical DSP; adaptive filters; modern control in power systems; renewable energy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid growth in the use of renewable energy technologies has transformed the global energy landscape, driving the need for innovative solutions to integrate these resources into existing power systems. This Special Issue focuses on the latest advancements in renewable energy conversion, grid optimization, and sustainable energy management. Key areas of interest include renewable energy forecasting, flexibility resources, smart grid technologies, and the integration of distributed energy resources. These advancements are critical for enhancing grid stability, improving energy efficiency, and achieving global sustainability goals.
This Special Issue, ‘Recent Advances in Renewable Energy Systems: Integration Challenges, Forecasting, and Grid Optimization for Sustainable Energy Management’, invites high-quality research articles, reviews, and case studies that address the following topics:
- Renewable energy conversion technologies: Innovations in solar, wind, hydro, and bioenergy systems;
- Grid integration and optimization: Challenges and solutions for integrating renewables into power grids and microgrids;
- Flexibility resources: Energy storage systems, demand response, and virtual power plants;
- Renewable energy forecasting: Advanced models for solar, wind, and other renewable energy sources;
- Smart grid technologies: AI-driven grid management, real-time monitoring, and resilience enhancement;
- Sustainable energy management: Policy frameworks, economic impacts, and lifecycle analysis of renewable energy systems;
- Distributed generation: Reliability and electric vehicle grid-integrated systems.
We welcome contributions that highlight novel methodologies, practical applications, and interdisciplinary approaches toward advancing renewable energy systems and their integration into modern energy infrastructures.
Dr. Ali S. Alghamdi
Guest Editor
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. Processes is an international peer-reviewed open access monthly 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 integration
- grid optimization
- sustainable energy management
- renewable energy forecasting
- flexibility resources
- smart grid technologies
- energy storage systems
- distributed energy resources
- microgrids
- AI in energy systems
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