ScholarLens Back to search
2012•Unpublished venueRequires access

The influence of wind direction on short-term wind power prediction: A case study in north China

Yuyu Ding, Hai Zhou, Zhiping Tan, Ying Chen, Jie Ding

Open publisher page 5 citations

Abstract

This paper investigates the impact of wind direction on the prediction of wind power. A novel short-term wind power forecasting model is developed based on the data of wind speed, wind direction, wind farm output and numerical weather prediction. Statistical methods are adopted for the data analysis. To show the effectiveness, the approach is applied on a wind farm in north China. The average RMSE is reduced by 41.3% through the application of the proposed approach.

About this research paper

What this paper is about

This paper investigates the impact of wind direction on the prediction of wind power. A novel short-term wind power forecasting model is developed based on the data of wind speed, wind direction, wind farm output and numerical weather prediction. Statistical methods are adopted for the data analysis. To show the effectiveness, the approach is applied on a wind farm in north China. The average RMSE is reduced by 41.3% through the application of the proposed approach.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper investigates the impact of wind direction on the prediction of wind power. A novel short-term wind power forecasting model is developed based on the data of wind speed, wind direction, wind farm output and numerical weather prediction. Statistical methods are adopted for the data analysis. To show the effectiveness, the approach is applied on a wind farm in north China. The average RMSE is reduced by 41.3% through the application of the proposed approach.

Key concepts: Wind power, Wind speed, Meteorology, Wind power forecasting, Term (time), Wind direction, Environmental science, Wind profile power law

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
The influence of wind direction on short-term wind power prediction: A case study in north China — Research Paper | ScholarLens