Machine Learning Applications to Operation, Control and Protection of Microgrids

Dear Colleagues,

Machine learning and artificial intelligence techniques provide unprecedented opportunities for developing solutions for the challenges in control, operation and protection of smart electrical grids and microgrids. These techniques have been applied to load and generation forecasts, energy management implementation, decision-making in electricity markets, contingency and resilience analysis, developing advanced control and protection schemes, etc.   

Prospective authors are invited to submit their original contributions or survey papers for publication in Energies. Topics of interest for this Special Issue include but are not limited to the following topics in the area of machine learning application to microgrids and distributed generation systems:

• Protection, reliability and resilience;
• Proactive protection in AC and DC microgrids;
• Adaptive, robust and fault-tolerant control strategies;
• Power quality and harmonics;
• Lifetime modelling, condition monitoring, and failure prediction;
• Design and expansion planning;
• Integration of renewable energy sources;
• Control and operation of energy storage devices;
• Operation and energy management systems;
• Optimized and coordinated management of flexible energy resources;
• Electricity markets;
• Industrial, experimental, and hardware-in-the-loop tests and validation.

Dr. Mehdi Savaghebi
Prof. Dr. Josep M. Guerrero
Prof. Dr. Hannu Laaksonen
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 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-anonymized 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.