Enabling Future Energy Transition in Digital Power Systems Through AI Technologies
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: 23 April 2026 | Viewed by 21
Special Issue Editors
Interests: smart grid; AI–machine learning application; operation processing optimization; power system management; system resilience; supply–demand-side management; energy policymaking analysis; multi-criteria decision making
Interests: artificial intelligence and machine learning for energy systems; smart grids and renewable energy integration; battery energy storage systems (BESS) and optimization; IoT and predictive analytics for smart systems
Interests: smart grids; grid-integrated energy storage systems (ESS); artificial intelligence for power system operation; control and protection; P2P energy trading; renewable energy technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global push towards net-zero emissions is transforming the way power systems are planned, operated, and regulated. Traditional centralized infrastructures are giving way to decentralized, digitalized, and decarbonized energy systems, where renewable generation, flexible loads, and distributed storage play a central role. Managing this complexity requires advanced artificial intelligence (AI) and digital technologies that can forecast, optimize, and control power systems under increasing uncertainty.
This Special Issue focuses on the role of AI-driven approaches in accelerating the energy transition and enabling the design of next-generation, resilient, and sustainable power systems. It aims to bring together research and application studies that integrate machine learning, data analytics, optimization, and digital platforms into all aspects of modern energy systems, from real-time operations and predictive maintenance to long-term planning and market design.
Topics of interest include, but are not limited to, the following:
- AI for renewable energy forecasting, integration, and flexibility management
- Optimization and control of distributed energy resources (DERs), storage, and microgrids
- Digital twins, edge/cloud intelligence, and cyber–physical energy system architectures
- Decentralized and federated learning for resilient and privacy-preserving power systems
- AI-enabled energy markets, demand response, and transactive energy systems
- Predictive maintenance, asset health monitoring, and reliability enhancement
- Hybrid physics–ML models for stability, security, and cross-sector decarbonization
- Case studies, benchmarks, and reproducible applications of AI in real-world power systems
We welcome original research articles, reviews, and application case studies that demonstrate how AI and digital technologies contribute to decarbonization, decentralization, and the smart energy transition. Contributions that provide scalable solutions, reproducible results, and policy or industry relevance are especially encouraged.
Dr. Nguyen Hoang Hai Tra
Dr. Nivethitha Somu
Dr. Veerapandiyan Veerasamy
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
- artificial intelligence (AI)
- energy transition
- smart power systems
- renewable energy integration
- distributed energy resources (DERS)
- energy storage systems
- optimization and control
- decarbonization
- net-zero
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