The Impact of Artificial Intelligence on Modern Energy Systems
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: 5 March 2026
Special Issue Editors
Interests: logic programming; parallel processing; programming languages; assistive technologies; constraint programming; bioinformatics; knowledge representation and reasoning; multi-agent systems
Special Issue Information
Artificial intelligence (AI) is transforming electric energy systems, enabling a more efficient, resilient, and sustainable power grid. As the world transitions towards a low-carbon future, characterized by the proliferation of distributed energy resources (DERs) such as solar and wind, traditional grid management methods are becoming obsolete. This Special Issue will explore the latest developments in and applications of AI and machine learning (ML) in electric energy systems, ranging from generation to transmission, distribution, and consumption. We invite original research articles and comprehensive reviews that delve into how AI can address the complexities of modern power grids. Topics include enhancing grid stability through advanced forecasting and control, optimizing the integration of renewable energy sources, and improving system reliability with predictive maintenance and fault detection. We also encourage submissions on the use of AI for demand-side management, security in cyber–physical systems relevant to energy, and the development of intelligent energy markets.
The goal of this Special Issue is to provide a platform for researchers to share their insights on how AI is paving the way for a smarter, more reliable, and sustainable electric energy future.
Potential Topics of Interest include, but are not limited to, the following:
- Renewable Energy Forecasting and Integration: Utilizing AI for accurate wind, solar, and hydro power forecasting to better integrate these variable sources into the grid.
- Smart Grid Operation and Control: Applying AI and ML solutions for real-time load forecasting, dynamic power flow optimization, and autonomous grid control.
- Enhance Grid Resilience and Sustainability: Using AI decision making and ML models to analyze sensor data from grid infrastructure (transformers, transmission lines, etc.) to predict equipment failures, take emergency actions (e.g., islanding), and automatically develop preventive maintenance. Using AI and ML for detection, diagnosis, and restoration in presence of faults caused by natural or malicious events.
- Demand Response and Energy Management: Developing AI-based systems for managing energy consumption at the consumer level, optimizing residential and commercial energy use, and facilitating peer-to-peer energy trading. Using AI solutions to implement and sustain energy markets.
- Cybersecurity in Power Systems: Employing AI for real-time threat detection, anomaly detection, and mitigation and resolution of cyberattacks on critical energy infrastructure and cyber–physical energy systems.
- Electric Vehicles (EVs) and Grid Integration: Optimizing EV charging and discharging (vehicle-to-grid) with AI to support grid stability and reduce peak load.
Prof. Dr. Enrico Pontelli
Dr. Fabio Tardivo
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
- AI
- machine learning
- demand response
- grid resilience
- energy markets
- smart grids
- energy systems stability
- DER
- electric vehicles
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.
