Research on Wind Energy Resource Evaluation and Forecast in the Management of Large-Scale Wind Power Integration
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 595
Special Issue Editors
Interests: wind energy; time-series forecasting; big data processing and analysis; artificial intelligence and mathematical modeling; data mining
Special Issues, Collections and Topics in MDPI journals
Interests: numerical and computational mathematics; artificial intelligence and image processing; expert systems; pattern recognition and data mining
Interests: time-series; energy forecasting; applied statistics
Interests: wind speed forecasting; data mining and machine learning
Special Issue Information
Dear Colleagues,
With the increasing number of applications for wind power, international research on various issues relating to wind power has become more and more in-depth. This is partly because the intermittency and uncertainty of wind speed series have a great influence on the stability of the power system. The research on the evaluation and forecasting of wind energy resources is still a very arduous and challenging task. Due to the development of technology in recent years, the study of wind energy resource assessment and forecasting issues has provided new methods. It has become a trend to apply more advanced technologies to solve problems in the field of wind power. Therefore, this Special Issue focuses on the research and application of wind energy resource assessment and prediction using advanced technologies.
This Special Issue aims to attract researchers who are interested in this field, to show the progress of research on wind energy resource assessment and forecast, and to provide new ideas for future research. In short, we are interested in a large number of manuscripts that can bridge existing research gaps and provide novel ideas for future research in the field, including all types of submissions such as original research papers, applied research case studies, and literature reviews.
Dr. Jianzhou Wang
Dr. Haiyan Lu
Dr. Yao Dong
Dr. Chen Wang
Dr. Zongxi Qu
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
- Wind energy
- Forecasting techniques
- Wind power integration
- Method application
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