Special Issue "Data Mining Applications for Charging of Electric Vehicles"
Deadline for manuscript submissions: 30 June 2021.
Interests: optimization; data science; modelling; intelligent transportation systems
Interests: energy forecasting; energy data analysis; renewable energy; dynamic rating of power system components; smart grids
Special Issues and Collections in MDPI journals
Special Issue in Energies: Distributed Energy Storage Devices in Smart Grids
Special Issue in Electronics: Challenges and New Trends in Power Electronic Devices Reliability
Special Issue in Energies: Dynamic Rating of Power System Components
Interests: artificial intelligence; evolutionary computation; electric vehicles; smart grids; energy forecasting
We are inviting submissions of original research and review papers to the Special Issue entitled “Data Mining Applications for Charging of Electric Vehicles”.
Electric mobility has the potential to contribute to improving energy security and mitigating greenhouse gas emissions. Recent data and available outlooks indicate continuous growth of electric vehicle (EV) sales and penetration. However, the share of EVs on roads compared to vehicles with an internal combustion engine, is still fairly small. The large-scale deployment of EVs is associated with significant policy, technical, environmental, and planning challenges, indicating the need for methods that are able to provide efficient and reliable support for decision making to guide the transition toward higher penetration of EVs. In recent years, due to the growing intelligence of EV infrastructure, the availability of field data of on-road and charging EVs has significantly improved, providing new research opportunities.
The main aim of this Special Issue is to gather novel data-centric methods and applications by combining modeling with field data in the following, but not limited to, domains relevant to EVs:
- Assessment of EV impacts, such as economic, environmental, technical, social, etc. impacts
- Integration of EV charging into smart grids
- EV load forecasting
- EV sales forecasting
- EV charging infrastructure planning
- Charging strategies for EVs in public transport
- Data-driven approaches to battery management
- EV users’ charging behavior
- EV users’ attitude analyses
- EV charging data management
Prof. Ľuboš Buzna
Dr. Pasquale De Falco
Assoc. Prof. Zhile Yang
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 papers will be 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 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.
- Electric vehicles
- Charging infrastructure
- Decisions making support
- Data science
- Machine learning
- Statistical analysis