Short-Term Wind Speed Forecasting for Power System Operations

Xinxin Zhu, Marc G. Genton

Research output: Contribution to journalArticlepeer-review

118 Scopus citations

Abstract

The emphasis on renewable energy and concerns about the environment have led to large-scale wind energy penetration worldwide. However, there are also significant challenges associated with the use of wind energy due to the intermittent and unstable nature of wind. High-quality short-term wind speed forecasting is critical to reliable and secure power system operations. This article begins with an overview of the current status of worldwide wind power developments and future trends. It then reviews some statistical short-term wind speed forecasting models, including traditional time series approaches and more advanced space-time statistical models. It also discusses the evaluation of forecast accuracy, in particular, the need for realistic loss functions. New challenges in wind speed forecasting regarding ramp events and offshore wind farms are also presented. © 2012 The Authors. International Statistical Review © 2012 International Statistical Institute.
Original languageEnglish (US)
Pages (from-to)2-23
Number of pages22
JournalInternational Statistical Review
Volume80
Issue number1
DOIs
StatePublished - Apr 10 2012
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: This research was partially supported by NSF grant DMS-1007504 and by Award No. KUS-C1-016-04 made by King Abdullah University of Science and Technology (KAUST). The authors thank the editor, an associate editor, four reviewers, Amanda Hering and Le Xie for valuable comments that have improved this article.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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