Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/75842


Title: One-day-ahead load forecast using an adaptive approach
Authors: Xia, X.;Rui, X.;Bai, X.;Wang, H.;Jin, F.;Yin, W.;Dong, J.;Lee, Hsin Ying
Contributors: 資管系
Keywords: Forecasting;adpative strategy;Hybrid method;Load forecast;period refinement scheme;power system;Electric load forecasting
Date: 2014-11
Issue Date: 2015-06-16 15:55:00 (UTC+8)
Abstract: 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.
Relation: 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
Data Type: conference
DOI 連結: http://dx.doi.org/10.1109/SOLI.2014.6960755
Appears in Collections:[資訊管理學系] 會議論文

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