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http://dx.doi.org/10.5370/KIEE.2015.64.1.041

Load Forecasting using Hierarchical Clustering Method for Building  

Hwang, Hye-Mi (Photovoltaic Group, Korea Institute of Energy Research)
Lee, Sung-Hee (Dept. of Consulting, E3 EXPERT Inc.)
Park, Jong-Bae (Dept. of Electrical Engineering, Konkuk University)
Park, Yong-Gi (Dept. of Electrical Engineering, Konkuk University)
Son, Sung-Yong (Dept. of Electrical Engineering, Gachon University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.64, no.1, 2015 , pp. 41-47 More about this Journal
Abstract
In recent years, energy supply cases to take advantage of EMS(Energy Management System) are increasing according to high interest of energy efficiency. The important factor for essential and economical EMS operation is the supply and demand plan the hourly power demand of building load using the hierarchical clustering method of variety statistical techniques, and use the real historical data of target load. Also the estimated results of study are obtained the reliability through separate tests of validity.
Keywords
Load forecasting; Cluster analysis; Hierarchical clustering method; Load pattern; Energy management system (EMS);
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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