DocumentCode
3581120
Title
A new short-term load forecasting method based on distance vector method
Author
Zhiwei Liao ; Yanan Chen
Author_Institution
Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
fYear
2014
Firstpage
1
Lastpage
4
Abstract
Short-term load forecasting is the basic work for each power system economic dispatch, also, optimal combination unit and optimal power flow is the prerequisite for real-time electricity market trading. This paper presents a new evaluated point weighted method, which is based on distance vector clustering analyzes maximum load and holidays influence. Actual system application results show that the method is effective and practical.
Keywords
load forecasting; power system economics; distance vector clustering method; power system economic dispatch; real-time electricity market; short-term load forecasting method; Accuracy; Clouds; Databases; Load forecasting; Meteorology; Vectors; distance vector; point-to-point weighted mean; short-term load forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
Type
conf
DOI
10.1109/APPEEC.2014.7066136
Filename
7066136
Link To Document