Artificial Intelligence (AI) for Smart Energy and Mobility

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

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.

• AI
• smart energy
• smart mobility
• transport
• EVs
• machine learning
• digital twin
• simulation
• optimisation
• game theory
• decision-making