Smart Energy Solutions with Artificial Intelligence and Machine Learning
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 5
Special Issue Editor
Interests: smart energy; intelligent energy systems; future nuclear power; machine learning; big data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global energy landscape is undergoing a profound transformation driven by the urgent need for sustainability, efficiency, and resilience. At the heart of this transition is the growing integration of smart technologies, particularly artificial intelligence (AI) and machine learning (ML), into energy systems. These technologies enable dynamic forecasting, adaptive control, predictive maintenance, and real-time optimization across the entire energy value chain, from generation and distribution to consumption and storage. With the increasing dissemination of renewable energy sources, electric vehicles, and smart grids, the complexity and data volume of energy systems have surged, making AI and ML indispensable tools for managing this complexity effectively.
This Special Issue aims to explore cutting-edge research and innovative applications of AI and ML in the energy sector. It seeks to highlight how these technologies can enhance system performance, improve reliability, support decision-making, and enable the development of smart, sustainable, and autonomous energy infrastructures. Contributions that blend theory with practical implementation and demonstrate real-world impact are particularly welcome.
Prof. Dr. Lefteri H. Tsoukalas
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. 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
- artificial intelligence
- smart grid
- intelligent energy management
- AI-driven
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.