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 Challenges and Smart Applications in Production Systems—2nd Edition (Deadline: 30 June 2024)
- Artificial Intelligence Approach for Modeling of Renewable Energy Systems (Deadline: 30 June 2024)
- Intelligent Systems Supporting the Use of Energy Device and Other Complex Technical Objects, 2nd Edition (Deadline: 11 July 2024)
- Application of Machine Learning Tools for Energy System (Deadline: 25 July 2024)
- State-of-the-Art Machine Learning Tools for Energy Systems (Deadline: 25 July 2024)
- Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis II (Deadline: 25 July 2024)
- Artificial Intelligence and Optimization for Smart Grids (Deadline: 28 August 2024)
- Machine Learning for Energy Load Forecasting (Deadline: 31 August 2024)
- Artificial Intelligence in Energy Efficient Buildings (Deadline: 31 August 2024)
- Intelligent Concepts for the Modelling, Optimization and Control of Smart Energy Systems (Deadline: 5 September 2024)
- Fuzzy Decision Support Systems for Efficient Energy Management (Deadline: 10 September 2024)
- Research on Security and Data Protection for Energy Systems (Deadline: 10 September 2024)
- Energy Data Spaces: Architectures, Concepts and Applications (Deadline: 20 September 2024)
- Internet of Things, Edge Computing, and Artificial Intelligence for Smart Grid—2nd Edition (Deadline: 25 September 2024)
- Advances in Artificial Intelligence for Photovoltaic Research and Applications (Deadline: 15 October 2024)
- Advances in Coal Measure Resources and CCUS (Carbon Capture, Utilization and Storage) (Deadline: 23 October 2024)
- Renewable Energy System Technologies: 2nd Edition (Deadline: 25 October 2024)
- Forecasting and Optimization in Transport Energy Management Systems (Deadline: 31 October 2024)
- Tiny Machine Learning for Energy Applications (Deadline: 31 October 2024)
- Smart Energy Systems: Learning Methods for Control and Optimization (Deadline: 13 November 2024)
- Simulation and Modeling for Low-Carbon Energy Systems (Deadline: 16 November 2024)
- Artificial Intelligence and Machine Learning New Concepts in SMART Energy Systems (Deadline: 29 November 2024)
- Policy and Economic Analysis of Energy Systems (Deadline: 20 December 2024)
- Artificial Intelligence (AI) for Smart Energy and Mobility (Deadline: 20 December 2024)
- Empowering Rural Communities: Control Strategies for a Sustainable and Resilient Energy Future (Deadline: 25 December 2024)
- Artificial Intelligence and Machine Learning Applications in Smart Energy Systems (Deadline: 31 December 2024)
- Applications of Artificial Intelligence (AI) in Energy Storage Systems Design, Operation and Control (Deadline: 31 January 2025)
- Application of Artificial Intelligence and Deep Learning in Carbon Capture and Utilisation and Storage (Deadline: 11 June 2025)
Topical Collections
Following topical collections within this section are currently open for submissions: