Title :
Data Mining Used For the Assessment of the Ability of Bidding Units
Author :
Ran, Li ; Jinghua, Li
Author_Institution :
North China Electr. Power Univ., Baoding
Abstract :
A new data-mining method for assessment of the ability of bidding units is proposed in this paper. The algorithm of reducing attribute value is introduced to get minimum rules. An example which considers the various factors is illustrated the procedure of finding association among many factors and then obtained the rules to assess bidding units ability. The rules are very useful in supporting the generating bidding unit to make decisions and helping the electric agency (power exchange-PX) and (independent system operator-ISO) to design an optimal trade plans
Keywords :
data mining; power engineering computing; power generation economics; data-mining method; electric agency; generating bidding unit; optimal trade plan; Data mining; Demand forecasting; Economic forecasting; ISO; Industrial control; Power generation; Power generation economics; Power markets; Power system economics; Radio access networks; Data mining; generation bidding; power market; rough set;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1546938