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| DOI | 10.3390/en17010088 |
| Revolutionizing Solar Power Forecasts by Correcting the Outputs of the WRF-SOLAR Model | |
| Huang, Cheng-Liang; Wu, Yuan-Kang; Tsai, Chin-Cheng; Hong, Jing-Shan; Li, Yuan-Yao | |
| 发表日期 | 2024 |
| EISSN | 1996-1073 |
| 起始页码 | 17 |
| 结束页码 | 1 |
| 卷号 | 17期号:1 |
| 英文摘要 | Climate change poses a significant threat to humanity. Achieving net-zero emissions is a key goal in many countries. Among various energy resources, solar power generation is one of the prominent renewable energy sources. Previous studies have demonstrated that post-processing techniques such as bias correction can enhance the accuracy of solar power forecasting based on numerical weather prediction (NWP) models. To improve the post-processing technique, this study proposes a new day-ahead forecasting framework that integrates weather research and forecasting solar (WRF-Solar) irradiances and the total solar power generation measurements for five cities in northern, central, and southern Taiwan. The WRF-Solar irradiances generated by the Taiwan Central Weather Bureau (CWB) were first subjected to bias correction using the decaying average (DA) method. Then, the effectiveness of this correction method was verified, which led to an improvement of 22% in the forecasting capability from the WRF-Solar model. Subsequently, the WRF-Solar irradiances after bias correction using the DA method were utilized as inputs into the transformer model to predict the day-ahead total solar power generation. The experimental results demonstrate that the application of bias-corrected WRF-Solar irradiances enhances the accuracy of day-ahead solar power forecasts by 15% compared with experiments conducted without bias correction. These findings highlight the necessity of correcting numerical weather predictions to improve the accuracy of solar power forecasts. |
| 英文关键词 | bias correction; solar irradiance prediction; decaying average; solar power forecasting |
| 语种 | 英语 |
| WOS研究方向 | Energy & Fuels |
| WOS类目 | Energy & Fuels |
| WOS记录号 | WOS:001139272900001 |
| 来源期刊 | ENERGIES
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/296739 |
| 作者单位 | National Chung Cheng University; Central Weather Bureau (CWB); National Chung Cheng University; National Chung Cheng University |
| 推荐引用方式 GB/T 7714 | Huang, Cheng-Liang,Wu, Yuan-Kang,Tsai, Chin-Cheng,et al. Revolutionizing Solar Power Forecasts by Correcting the Outputs of the WRF-SOLAR Model[J],2024,17(1). |
| APA | Huang, Cheng-Liang,Wu, Yuan-Kang,Tsai, Chin-Cheng,Hong, Jing-Shan,&Li, Yuan-Yao.(2024).Revolutionizing Solar Power Forecasts by Correcting the Outputs of the WRF-SOLAR Model.ENERGIES,17(1). |
| MLA | Huang, Cheng-Liang,et al."Revolutionizing Solar Power Forecasts by Correcting the Outputs of the WRF-SOLAR Model".ENERGIES 17.1(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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