Energy – Machine Learning and Artificial Intelligence

Dear Colleagues,

Machine learning and artificial intelligence are some of the most popular terms across all industries today. Our world is entering a new age driven by data and taking advantage of the opportunities offered by artificial intelligence (AI), while machine learning (ML) is becoming a business necessity. The energy industry is not an exception.

There is huge potential for ML and AI in energy matters. Their use may significantly accelerate the energy transition by creating an intelligent coordination layer across the generation, transmission, and use of energy. As a result, cost reduction, performance, and effectiveness increase, and better coordination and management may be achieved.

This Special Issue will deal with novel AI and ML applications in the energy sector. Topics of interest for publication include but are not limited to:

• Data science in the energy industry;
• Artificial Intelligence in the process of energy transformation and decarbonization;
• Forecasting;
• Smart grids;
• Anomalies and failures in the energy industry;
• Energy modeling;
• AI and ML in energy geopolitics;
• AI and ML in energy security;
• Renewable energy and AI&ML
• Maximization of energy efficiency with the use of AI and ML;
• Intelligent prevention of energy theft;
• Intelligent control of energy systems;
• Intelligent energy generation;
• Collection and use of data in the energy industry;
• AI and ML, energy, and society;
• AI and ML in energy-related research;
• Big data in in the energy industry;
• Design of materials, devices, and energy systems based on data;
• The Internet of Things in the energy industry;
• Virtual reality in energy;
• AI and the human factor in the energy industry;
• Energy robotics.

Dr. Piotr Kosowski
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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.