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Cited by 435

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

A Critical Review of Wind Power Forecasting Methods—Past, Present and Future

Open access
Hanifi, Shahram, Liu, Xiaolei, Lin, Zi, Lotfian, Saeid·2020·Energies

Abstract

The largest obstacle that suppresses the increase of wind power penetration within the power grid is uncertainties and fluctuations in wind speeds. Therefore, accurate wind power forecasting is a challenging task, which can significantly impact the effective operation of power systems. Wind power forecasting is also vital for planning unit commitment, maintenance scheduling and profit maximisation of power traders. The current development of cost-effective operation and maintenance methods for modern wind turbines benefits from the advancement of effective and accurate wind power forecasting approaches. This paper systematically reviewed the state-of-the-art approaches of wind power forecasting with regard to physical, statistical (time series and artificial neural networks) and hybrid methods, including factors that affect accuracy and computational time in the predictive modelling efforts. Besides, this study provided a guideline for wind power forecasting process screening, allowing the wind turbine/farm operators to identify the most appropriate predictive methods based on time horizons, input features, computational time, error measurements, etc. More specifically, further recommendations for the research community of wind power forecasting were proposed based on reviewed literature.

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Metadata

Authors
Hanifi, S., Liu, X., Lin, Z., & Lotfian, S.
Venue
Energies
Publisher
MDPI AG
Published
2020-07-22
Volume
13
Issue
15
Pages
3764
ISSN
1996-1073 (ISSN-L)
OpenAlex
W3044963726
Cited by
435
References
38
FWCI
15.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Critical Review of Wind Power Forecasting Methods—Past, Present and Future. https://app.cochat.ai/papers/10.3390/en13153764
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Hanifi, S., Liu, X., Lin, Z., & Lotfian, S. (2020). A Critical Review of Wind Power Forecasting Methods—Past, Present and Future. Energies. https://doi.org/10.3390/en13153764

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