Artificial Intelligence (AI) for Smart Energy and Mobility
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: 20 December 2024 | Viewed by 1863
Special Issue Editors
Interests: energy data analytics; energy market with demand response and renewable energy integration; smart energy and mobility; machine learning; game theory and optimisation
Interests: artificial intelligence; optimization; real-world applications; simulation
Special Issue Information
Dear Colleagues,
The energy and transport sectors account for the majority of the total global emissions and are major barriers to achieving net-zero goals. This incentivises ongoing efforts on the development of smart, clean and modern energy technologies (e.g., demand response, microgrids, and renewable energy) on the one hand, and the increasing integration of smart mobility technologies such as electric vehicles (EVs) for road, sea, and aerial transport, smart charging and routing on the other hand. The co-development and integration of smart energy and smart mobility technologies in both energy and transport sectors will bring significant benefits; however, at the same time create unprecedented challenges to reliable and efficient system operations. For instance, with the uptake of EVs and charging infrastructures, electricity demand will increase significantly, which inevitably accelerates the growth of renewable energy to meet the demand and thus leads to increased pressures on existing energy system planning and operations. On the other hand, renewable energy, EV and charging infrastructure integration in energy systems, considering their sizing and location selection, will affect existing transport planning and operations (e.g., traditional- and petrol-station-dominated markets) and create new and challenging research agendas.
A coupled system involving energy and transport sectors exhibits complex interactive behaviours among different parties, which presents a series of challenging and open research questions to be answered. Artificial intelligence (AI), as an enabling technology, is a promising method and tool to facilitate the development of smart energy and mobility solutions, the digital transformation of both energy and transport sectors and ultimately, the achievement of net-zero targets. Therefore, this Special Issue is devoted to the latest developments in AI (e.g., machine learning, digital twin, optimisation and simulation) for Smart Energy and Mobility. Prospective authors are invited to submit original contributions that include but are not limited to the following topics of interest:
- Innovative AI (e.g., machine learning, digital twin, optimisation and simulation) applications in energy and/ or transport sectors;
- Performance and decision analysis in energy and/ or transport sectors;
- Integrated energy and transport system modelling;
- The impact of EVs on system operations of energy and/ or transport sectors;
- The coordination of EVs and renewable energy integration;
- Smart charging and operations of EVs;
- EVs as demand response provider in smart grids;
- EVs driving behaviour analysis;
- EVs charging station sizing and location selection;
- Game-theoretic modelling of EVs and renewable integration for energy and/ or transport sectors.
Technical surveys and review papers are highly encouraged for submission and possible publication in this Special Issue.
Dr. Fanlin Meng
Prof. Dr. Richard Allmendinger
Dr. Ting Wu
Guest Editors
Manuscript Submission Information
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Keywords
- AI
- smart energy
- smart mobility
- transport
- EVs
- machine learning
- digital twin
- simulation
- optimisation
- game theory
- decision-making
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