AI-Based Techniques in Smart Grid Operations
A Special Issue of Algorithms (ISSN 1999-4893) belonging to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 1326
Editor
Interests: power system analysis; protection; operation and control; renewable energy sources and sustainable development; machine learning models for regression and pattern classification; recognition; prediction and approximation; stochastic; non-convex; nonlinear; combinatorial and constrained; multi-objective optimization methods
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Special Issue Information
Dear Colleagues,
The integration of Artificial Intelligence (AI) into smart grid operations is rapidly transforming the way modern power systems are monitored, managed, and optimized. With the increasing complexity of distributed energy resources, demand-side management, and real-time control requirements, AI offers powerful tools to the enhance decision-making, resilience, and efficiency of smart grids.
This Special Issue aims to bring together cutting-edge research and innovative applications of AI-based techniques in all facets of smart grid operations. We invite contributions that explore the use of machine learning, deep learning, reinforcement learning, optimization algorithms, and hybrid AI models in areas such as energy forecasting, load balancing, fault detection, grid stability, cybersecurity, and predictive maintenance.
Particular emphasis will be placed on scalable, data-driven solutions that can operate in real-time or near-real-time environments. Case studies, simulation results, and experimental validations are highly encouraged, especially those demonstrating practical benefits in real-world grid applications.
By highlighting both theoretical advancements and practical implementations, this Special Issue seeks to foster interdisciplinary collaboration and provide a comprehensive overview of the state-of-the-art in AI-driven smart grid operations.
Dr. Pavlos Nikolaidis
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms 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 1800 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
- electricity storage dynamics
- optimal management of distributed energy resources
- power quality control
- active prosumers participation
- economic infrastructure utilization
- systems protection and self-healing
- smart metering and data exchange
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