Renewable Energy Generation Forecasting and Electric Power Distribution Planning
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".
Deadline for manuscript submissions: 18 September 2024 | Viewed by 60
Special Issue Editors
Interests: knowledge engineering and expert systems for diagnosis and control systems; intelligent systems for modelling, optimization and control; fault and anomalies detection using traditional and intelligent techniques; new sensors; robust sensors and virtual sensors
Special Issues, Collections and Topics in MDPI journals
Interests: knowledge engineering and expert systems for diagnosis and control systems; intelligent systems for modelling, optimization and control; fault and anomalies detection using traditional and intelligent techniques; new sensors; robust sensors and virtual sensors
Special Issues, Collections and Topics in MDPI journals
Interests: knowledge engineering and expert systems for diagnosis and control systems; intelligent systems for modelling, optimization and control; fault and anomalies detection using traditional and intelligent techniques; new sensors; robust sensors and virtual sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the rapidly evolving field of renewable energy, the accurate forecasting of energy generation and the strategic planning of electric power distribution stand as cornerstone challenges. The Special Issue titled "Renewable Energy Generation Forecasting and Electric Power Distribution Planning" in the esteemed journal Energies invites pioneering research that addresses these critical issues. We seek contributions from experts, researchers, and practitioners who are pushing the boundaries of knowledge in the prediction of renewable energy outputs and the optimization of distribution networks to accommodate the dynamic nature of renewable sources. This Special Issue aims to gather a diverse range of studies, from innovative forecasting models that enhance accuracy and reliability to cutting-edge planning methodologies that ensure sustainable and efficient energy distribution. Whether your work involves solar, wind, hydro, or any other form of renewable energy, we encourage you to share your insights, methodologies, and results. Join us in shaping the future of energy systems by contributing your research to this vital discourse. Your expertise can lead to breakthroughs that propel us towards a more sustainable and resilient energy future.
Dr. José-Luis Casteleiro-Roca
Dr. Francisco Zayas-Gato
Dr. Esteban Jove Pérez
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
- electric power distribution
- energy forecasting
- redistributable generation
- renewable energy
