Title :
Identification and justification of abnormal electric load data based on density evaluation
Author :
Tong, Shulin ; Wen, Fushuan ; Chen, Liang ; Huang, Jiansheng
Author_Institution :
Sch. of Electr. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
There are usually a number of abnormal data in the electric load database derived from the SCADA system, thus it is necessary to identify and justify them before the load data are used for electric load forecasting or power system analysis. Considering both horizontal and vertical continuity of the electric load, a density evaluation based method is proposed to identify and justify abnormal data in two dimensions as a whole. The feasibility and efficiency of the developed method has been demonstrated by simulation results.
Keywords :
SCADA systems; load (electric); SCADA system; abnormal electric load data; density evaluation; electric load forecasting; power system analysis; Accuracy; Electrical engineering; Load forecasting; Load modeling; Power system stability; Time series analysis; abnormal data; density evaluation; electric load data; identification and justification;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location :
Weihai, Shandong
Print_ISBN :
978-1-4577-0364-5
DOI :
10.1109/DRPT.2011.5993997
