Special Issue "Artificial Intelligence in the Energy Industry"
Deadline for manuscript submissions: 24 March 2021.
Interests: applied Artificial Intelligence; machine learning; intelligent control engineering; renewable energy engineering; system optimization; smart city; human–computer interaction
Artificial intelligence is essential in every industrial environment. The energy industry is an area that presents exceptional opportunities for development with the use of AI. In essence, artificial intelligence provides a machine with the ability to learn and make decisions to solve problems or optimize results to meet a goal. There are many decisions to be made in the energy sector that need an early response and to handle a significant volume of data. Artificial intelligence can optimally perform these important decisions that require instantaneous collection and analysis of these large volumes of data while processing as fast and efficiently as possible.
Smart grids carry electricity, but also data. In the case of intermittent and volatile energies, such as solar and wind, it is more important than ever to effectively balance consumption and generation. One of the hopes for artificial intelligence applied to the energy sector is that it will help us with climate change, emission-reduction effects of technological progresses in industry, energy balances and environmental impact, etc. One of the most basic applications is that machine learning (or automatic learning, a key part of artificial intelligence) helps to make generation systems more efficient, improving the efficiency of design technologies and creating energy-efficient objects.
The future of mobility is electric, but that also poses new challenges. AI is being installed in the electric vehicle sector within cars themselves in order to manage it and communicate data that contribute to solving these challenges, but also outside the car to facilitate the effective management of reports, intelligent mobility solutions, etc.
Artificial intelligence is beginning to be used in the energy sector and is already proving essential by providing the industry and households with new information services in the control over energy infrastructure, optimizing generation, reducing consumption or fighting climate change, which are only some of the promises it holds in the near future.
Dr. Ana-Belén Gil-González
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.
- Machine learning
- Big Data
- Deep learning
- Renewable energy
- Virtual power plants
- Smart grids
- Power grid
- Energy system
- Optimization techniques
- Control methods
- Energy storage system
- Energy consumption
- Smart forecasting