A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy
Wind data are vital for the research in renewable energy research. Their quality from numerical weather prediction significantly influences the wind energy models. This paper utilizes a comprehensive statistical analysis for analyzing predictive errors, named residuals of wind speed and direction mo...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722013440 |
| _version_ | 1797900679164985344 |
|---|---|
| author | Hao Chen |
| author_facet | Hao Chen |
| author_sort | Hao Chen |
| collection | DOAJ |
| description | Wind data are vital for the research in renewable energy research. Their quality from numerical weather prediction significantly influences the wind energy models. This paper utilizes a comprehensive statistical analysis for analyzing predictive errors, named residuals of wind speed and direction modeled by numerical weather prediction models. The analysis, taken an Arctic wind site as an example, effectively integrates statistical inference, probabilistic modeling, and hypothesis tests. It is proven that the residuals still contain important meteorological information. The introduced statistical analysis may be used to replenish residuals and explore complex intrinsic properties of numerical weather wind models and contributions to wind energy modeling. |
| first_indexed | 2024-04-10T08:49:49Z |
| format | Article |
| id | doaj.art-1377632a7034458b9b4e7547dc821264 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T08:49:49Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-1377632a7034458b9b4e7547dc8212642023-02-22T04:30:48ZengElsevierEnergy Reports2352-48472022-11-018618626A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energyHao Chen0Correspondence to: Department of Technology and Safety, Tromsø 9019, Norway.; Department of Technology and Safety, Tromsø 9019, Norway; United Nations Conference on Trade and Development Unctad, Palais des Nations 1211 Geneva 10, SwitzerlandWind data are vital for the research in renewable energy research. Their quality from numerical weather prediction significantly influences the wind energy models. This paper utilizes a comprehensive statistical analysis for analyzing predictive errors, named residuals of wind speed and direction modeled by numerical weather prediction models. The analysis, taken an Arctic wind site as an example, effectively integrates statistical inference, probabilistic modeling, and hypothesis tests. It is proven that the residuals still contain important meteorological information. The introduced statistical analysis may be used to replenish residuals and explore complex intrinsic properties of numerical weather wind models and contributions to wind energy modeling.http://www.sciencedirect.com/science/article/pii/S2352484722013440Numerical weather predictionResidual analysisStatistical modelingHypothesis testWind energy |
| spellingShingle | Hao Chen A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy Energy Reports Numerical weather prediction Residual analysis Statistical modeling Hypothesis test Wind energy |
| title | A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy |
| title_full | A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy |
| title_fullStr | A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy |
| title_full_unstemmed | A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy |
| title_short | A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy |
| title_sort | comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy |
| topic | Numerical weather prediction Residual analysis Statistical modeling Hypothesis test Wind energy |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722013440 |
| work_keys_str_mv | AT haochen acomprehensivestatisticalanalysisforresidualsofwindspeedanddirectionfromnumericalweatherpredictionforwindenergy AT haochen comprehensivestatisticalanalysisforresidualsofwindspeedanddirectionfromnumericalweatherpredictionforwindenergy |