| dc.contributor | 資管系 | |
| dc.creator (作者) | Xia, X.;Rui, X.;Bai, X.;Wang, H.;Jin, F.;Yin, W.;Dong, J.;Lee, Hsin Ying | |
| dc.date (日期) | 2014-11 | |
| dc.date.accessioned | 16-Jun-2015 15:55:00 (UTC+8) | - |
| dc.date.available | 16-Jun-2015 15:55:00 (UTC+8) | - |
| dc.date.issued (上傳時間) | 16-Jun-2015 15:55:00 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75842 | - |
| dc.description.abstract (摘要) | Electrical load forecasting is vitally important to modern power system planning, operation, and control. In this paper, by focusing on historical load data and calendar factors, we present a hybrid method using period refinement scheme and adaptive strategy for building peak hour period and off-peak hour period models in day-of-week for one-day-ahead for load forecasting. They are evaluated using three full years of Shenzhen city electricity load data. Experimental results shows the adaptive model for each period, confirm good accuracy of the proposed approach to load forecasting and indicate that it has better forecasting accuracy than traditional ANN method. | |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2014, 17 November 2014, 論文編號 6960755, Pages 382-387, 2014 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2014; Qingdao; China; 8 October 2014 到 10 October 2014; 類別編號CFP14SOL-ART; 代碼 109304 | |
| dc.subject (關鍵詞) | Forecasting; adpative strategy; Hybrid method; Load forecast; period refinement scheme; power system; Electric load forecasting | |
| dc.title (題名) | One-day-ahead load forecast using an adaptive approach | |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1109/SOLI.2014.6960755 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/SOLI.2014.6960755 | |
