Improving Energy Efficiency in Smart Grids
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 2820
Special Issue Editors
Interests: information fusion; knowledge representation; machine learning; energy efficiency
Interests: data mining; machine learning and knowledge representation applied in different areas such as music, energy management and healthcare
Special Issue Information
Dear Colleagues,
Guest Editor Dr. Juan Gómez Romero is inviting submissions for a Special Issue of Energies on the subject area of “Improving Energy Efficiency in Smart Grids.”
Smart grids (SGs) are revolutionizing energy management and use. Traditional monolithic infrastructure is being replaced by one involving multiple components, which generate, store, and consume energy. This scenario calls for innovative solutions, capable of seamlessly orchestrating multiple and heterogeneous actors and efficiently delivering energy to the whole system. The Internet of Things (IoT) and artificial intelligence (IA) have emerged as the key enabling technologies to achieve these goals.
This Special Issue will focus on novel methods, algorithms, and technologies to increase energy efficiency in SGs. Applied works with experimental results are also welcome.
Topics of interest for publication include, but are not limited to, the following:
- Communication and coordination in SGs;
- Distributed energy management;
- Optimal use of renewable energy in SGs;
- Energy efficiency and microgrids;
- Single and multiple building energy control;
- Prediction of energy production and/or demand in SGs;
- Energy efficiency at the intersection of smart grids and smart cities;
- Multi-agent systems for SGs;
- Applications of IoT and AI to increase energy efficiency in SGs;
- Legal and ethical aspects of energy optimization in SGs.
Dr Miguel Molina-Solana
Dr. Rossella Arcucci
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 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 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.
Keywords
- smart grids
- energy optimization
- artificial intelligence
- internet of things
- control methods
- communication and coordination
- predictive models.
