Methods and Advances in Forecasting of Wind Power Generation

Dear Colleagues,

The journal Applied Sciences (ISSN 2076-3417, IF 2.217) is currently running a Special Issue entitled “Methods and Advances in Forecasting of Wind Power Generation”. Prof. Jin Hur (Sangmyung University, Seoul, South Korea) is serving as Guest Editor for this issue, and we think you could make an excellent contribution based on your expertise. This Special Issue will bring together various experts, from academic researchers and industrial engineers, to discuss practical methods and promising techniques in the forecasting of wind generating resources for the challenges of flexibility in power system operation and planning. The topics of the Special Issue include statistical learning techniques, ensemble forecasting, spatiotemporal forecasting, and probabilistic forecasting of wind-generating resources for integrating higher wind penetrations into power girds.

Due to intermittency of wind generating resources, it is very hard to manage them in system operation and planning. Wind power forecasting for handling uncertainty and variability is needed to incorporate higher penetration levels of wind-generating resources into power systems maintaining a secure and economic power system operation. This Special Issue of Applied Sciences, “Method and Advances in Forecasting of Wind Power Generation”, is intended to discuss new methods and advanced techniques in forecasting wind power generation for integrating higher penetrations into power girds.

Prof. Jin Hur
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 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. Applied Sciences 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.

• Wind power output forecasting
• Statistical learning techniques
• Ensemble forecasting
• Spatiotemporal forecasting
• Probabilistic forecasting
• Grid integration with high wind penetrations