Artificial Intelligence and Machine Learning for Wind Energy Resource Modelling and Forecasting
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "AI-Enabled Process Engineering".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 130
Special Issue Editor
Interests: numerical weather prediction and modelling; wind energy resource simulation; climate simulation and modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As Guest Editor, I am delighted to launch this Special Issue on AI/ML advances for wind forecasting and modelling within atmospheric and NWP frameworks. Machine learning (ML) and AI are reshaping wind forecasting inside numerical weather prediction (NWP) and atmospheric models.
We welcome contributions that advance statistical and machine learning methods showing effective performance in NWP models that simulate wind speed or wind energy production error reduction, and that refine spatial and temporal resolution and consistency, using hybrid physics–ML approaches and methods for extremes and rare events.
Submissions should emphasize rigour, interpretability, and uncertainty quantification, with clear validation against established benchmarks and multiple regimes (stable/LLJ, complex terrain, offshore). Papers sharing open datasets, code, and reproducible workflows are strongly encouraged.
Dr. David Carvalho
Guest Editor
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. Processes 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
- wind energy
- machine learning
- artificial intelligence
- NWP models
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
