Solar and Wind Forecasting and Assessment
A special issue of Forecasting (ISSN 2571-9394).
Deadline for manuscript submissions: closed (30 September 2020)
Interests: renewable energy; artificial intelligence; machine learning; forecasting
Special Issues, Collections and Topics in MDPI journals
The higher penetration of renewable resources in the energy portfolios of several communities accentuates the need for accurate forecasting of variable resources (solar, wind, tidal) at several different temporal scales in order to achieve power grid balance. Solar generation technologies have experienced strong energy market growth in the past few years, with corresponding increases in local grid penetration rates. As is the case with wind, the solar resource at ground level is highly variable mostly due to cloud cover variability, atmospheric aerosol levels, and indirectly and to a lesser extent, participating gases in the atmosphere.
Therefore, the aim of this Special Issue is to solicit original and high-quality research articles related to the aforementioned topics. In particular, topics of interest include but are not limited to:
- Mathematical-based solar and wind forecasting and assessment models;
- AI-driven approaches for solar and wind forecasting;
- Assessment of newly developed approaches for solar and wind forecasting;
- Advanced machine learning tools for solar and wind systems forecasting and evaluation.
Dr. Mahmoud Dhimish
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. Forecasting is an international peer-reviewed open access quarterly 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 1800 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.
- forecasting models
- machine learning
- AI-driven techniques
- PV systems
- wind systems