F5: Artificial Intelligence and Smart Energy
A section of Energies (ISSN 1996-1073).
Section Information
Increase in human growth, alongside a higher standard of living, encourages the community to engage in progressively more activities. This is evident in the massive demand for energy. Unfortunately, the current supply does not adequately meet the demands due to some challenges, including costs, techniques, technologies, resources, human skills, etc. To solve these challenges, certain approaches are utilized. However, the traditional practices, which require more items such as equipment, labour sources, procedures, etc., are tedious and time-consuming. At present, times have changed towards the era of digitalization, where all aspects of life are directed towards being fast, effective, and efficient with the assistance of the computer.
Artificial intelligence (AI) offers a smart way to help society achieve goals in a modern manner by implementing techniques involving predictive analytics, claims analytics, emerging issues detection, survey analysis, etc. AI covers a wide range, but the fields were not formally founded until 1956, at a conference at Dartmouth College, in Hanover.
On account of drastic progress in intelligent energy systems, the AI and Smart Energy Section aims to provide a platform for showcasing the front-line research at the crossing point between AI applications, smart approaches, and energy systems. This Section also provides the latest research progress in the multidisciplinary approach of AI in the energy system, technology, development, etc. This Section considers full-length, short communications, perspective, and review articles. Focal points of the AI and Smart Energy Section include but are not limited to:
- Energy topics:
- Solar thermal energy;
- Hydropower;
- Geothermal power;
- Wind power;
- Marine energy;
- Biomass and bioenergy;
- Hydrogen energy;
- Nuclear energy;
- Fossil and green fuels;
- Energy storage and saving;
- Energy management;
- Smart grids;
- Energy sustainability;
- Energy modeling.
- Statistic approach:
- Taguchi method;
- Response surface methodology;
- Analysis of variance;
- Linear regression;
- Others.
- Artificial intelligence and evolutionary computation:
- Genetic algorithm;
- Particle swarm optimization;
- Nelder–Mead algorithm;
- Multi-objective genetic algorithm;
- Others.
- Machine learning and data analysis:
- Neural network;
- Convolutional neural network;
- Multivariate adaptive regression splines;
- Decision tree;
- K-means clustering;
- Others.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Energy Data Spaces: Architectures, Concepts and Applications (Deadline: 25 March 2026)
- Smart Energy Systems: Dynamics, Control and Optimal Planning for Low-Carbon Energy Systems (Deadline: 25 March 2026)
- Advances in Artificial Intelligence for Photovoltaic Research and Applications (Deadline: 10 April 2026)
- Renewable Energy System Technologies: 3rd Edition (Deadline: 10 April 2026)
- Artificial Intelligence-Driven Energy Modeling and Management (Deadline: 15 April 2026)
- Recent Progress in Virtual Power Plants (Deadline: 15 April 2026)
- Application of Machine Learning Tools for Energy Systems, 2nd Edition (Deadline: 20 April 2026)
- Smart Energy Management in Power Systems (Deadline: 20 April 2026)
- Enabling Future Energy Transition in Digital Power Systems Through AI Technologies (Deadline: 23 April 2026)
- Artificial Intelligence in the Reliability Modeling and Maintenance of Renewable Energy Systems (Deadline: 24 April 2026)
- Smart and Sustainable Energy Systems: Optimization, Modeling, and Management for Global Energy Challenges (Deadline: 24 April 2026)
- AI-Driven Modeling and Optimization for Industrial Energy Systems (Deadline: 24 April 2026)
- Machine Learning and Artificial Intelligence Techniques Applications in Renewable Energy Systems (Deadline: 24 April 2026)
- Optimization and Control of Smart Energy Systems (Deadline: 5 May 2026)
- Research on Operation Optimization of Integrated Energy Systems (Deadline: 5 May 2026)
- Intelligent Energy Technical Studies About Automobiles, New Energy Vehicles and Key Systems in the Energy Field (Deadline: 5 May 2026)
- Data Augmentation Methods in Energy Development and Applications (Deadline: 15 May 2026)
- Advances in Energy Efficiency and Control Systems (Deadline: 15 May 2026)
- Advances in Artificial Intelligence for Energy Management and Smart Energy Systems (Deadline: 25 May 2026)
- AI Fusion in Energy Systems: Neural Networks and Bayesian Approaches for EVGI and EMS Optimization (Deadline: 25 May 2026)
- Advanced Machine Learning and Data Analysis Technologies in Modern Energy Systems (Deadline: 25 June 2026)
- Threats and Protection of Energy Systems (Deadline: 30 June 2026)
- Intelligent, Data-Driven, and Trustworthy Methods for Energy System Optimization, Monitoring, and Fault Diagnosis (Deadline: 10 July 2026)
- Artificial Intelligence and Machine Learning Applications in Smart Energy Systems—2nd Edition (Deadline: 10 July 2026)
- Artificial Intelligence for Energy Forecasting (Deadline: 10 July 2026)
- Machine Learning Algorithms for Power Systems and Renewable Energy Applications (Deadline: 10 July 2026)
- Artificial Intelligence in Modern Power and Energy Systems (Deadline: 20 July 2026)
- Artificial Intelligence and Its Application in Condition Monitoring and Evaluation of Power Equipment (Deadline: 20 July 2026)
- Innovations in Cybersecurity and Internet of Things for Sustainable Energy Systems (Deadline: 20 July 2026)
- Transforming Power Systems and Smart Grids with Deep Learning (Deadline: 25 July 2026)
- Advanced Application of Mathematical Methods in Energy Systems (Deadline: 30 July 2026)
- Optimisation and Management of Energy Systems Through Artificial Intelligence (Deadline: 31 July 2026)
- AI, Big Data, and IoT for Smart Grids and Electric Vehicles (Deadline: 31 July 2026)
- Energy Informatics and Intelligent Systems: IoT, AI, and Machine Learning Applications (Deadline: 31 July 2026)
- Data-Driven Approaches to Power Grids: Planning, Control and Integration of Renewable Energy Systems (Deadline: 31 July 2026)
- Machine Learning and Artificial Intelligence for Photovoltaic Power Systems (Deadline: 31 July 2026)
- Advances in Sustainable Power and Energy Systems: 2nd Edition (Deadline: 5 August 2026)
- Planning and Operation of Integrated Renewable Energy Distribution System: 2nd Edition (Deadline: 5 August 2026)
- Artificial Neural Network Applications in the Simulation Modeling, Control, and Fault Diagnosis of Energy Systems (Deadline: 10 August 2026)
- Artificial Intelligence for Smart Grids and Sustainable Energy Systems (Deadline: 10 August 2026)
- Data-Driven Approaches for Green Energy Transition (Deadline: 10 August 2026)
- Artificial Intelligence and Optimization for Virtual Power Plant Operations (Deadline: 10 August 2026)
- Artificial Intelligence for Renewable Energy: Applications in Prediction, Optimization, and Management (Deadline: 20 August 2026)
- Distributed Optimization and Resilient Control for Smart Energy Systems (Deadline: 25 August 2026)
- AI Solutions for Energy Management: Smart Grids and EV Charging (Deadline: 25 August 2026)
- Forecasting Electricity Demand Using AI and Machine Learning (Deadline: 30 August 2026)
- Application of Artificial Intelligence in Power and Energy Systems (Deadline: 5 September 2026)
- AI-Driven Innovations in Turbomachinery Flow Modeling and Design Optimization (Deadline: 10 September 2026)
- Artificial Intelligence for Nuclear Engineering: Enhancing Smart Energy Systems (Deadline: 10 September 2026)
- Artificial Intelligence-Based Approaches for Power Energy System Modelling (Deadline: 10 December 2026)
- Intelligent Energy Management Systems: Challenges, Development and Prospects (Deadline: 31 December 2026)
- AI and Data-Driven Approaches for Distributed Energy Resource Control (Deadline: 30 June 2027)
Topical Collections
Following topical collections within this section are currently open for submissions:
