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Intelligent Optimization and Machine Learning in Power and Energy Systems
This special issue belongs to the section “Power Electronics“.
Special Issue Information
Dear Colleagues,
Power and energy systems are critical infrastructures that require efficient, reliable, and sustainable actions. The complexity of these systems is increasing continuously due to the integration of a number of factors, including renewable energy sources, energy storage, electric vehicles, smart grids, and demand-side management. As a result, traditional methods for optimization and control are often inadequate in these systems. Intelligent optimization and machine learning offer promising solutions to address these challenges by transforming the way power and energy systems are designed, operated, and maintained. This Special Issue is devoted to addressing these issues by presenting recent and novel methodologies that are related to intelligent optimization and machine learning in power and energy systems.
Dr. Yiannis Katsigiannis
Dr. Konstantinos Blazakis
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics 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 2400 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.
Keywords
- optimization
- machine learning and data mining
- artificial intelligence
- power systems
- smart grids
- energy storage
- renewable energy integration
- renewable energy forecasting
- load forecasting and demand-side management
- grid reliability and resilience
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Published Papers
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