Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2007.10a
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- Pages.591-593
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- 2007
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- 1226-9743(pISSN)
CLUSTER ANALYSIS FOR REGION ELECTRIC LOAD FORECASTING SYSTEM
- Park, Hong-Kyu (Database/Bioinformatics Laboratory, School of Electrical & Computer Engineering, Chungbuk National University) ;
- Kim, Young-Il (Power Information Technology Group, Korea Electric Power Research Institute) ;
- Park, Jin-Hyoung (Database/Bioinformatics Laboratory, School of Electrical & Computer Engineering, Chungbuk National University) ;
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Ryu, Keun-Ho
(Database/Bioinformatics Laboratory, School of Electrical & Computer Engineering, Chungbuk National University)
- Published : 2007.10.31
Abstract
This paper is to cluster the AMR (Automatic Meter Reading) data. The load survey system has been applied to record the power consumption of sampling the contract assortment in KEPRI AMR. The effect of the contract assortment change to the customer power consumption is determined by executing the clustering on the load survey results. We can supply the power to customer according to usage to the analysis cluster. The Korea a class of the electricity supply type is less than other country. Because of the Korea electricity markets exists one electricity provider. Need to further divide of electricity supply type for more efficient supply. We are found pattern that is different from supplied type to customer. Out experiment use the Clementine which data mining tools.