Load forecasting using hierarchical clustering method for building

被引：2
|
作者：
Hwang, Hye-Mi [1 ]
Lee, Sung-Hee [2 ]
Park, Jong-Bae [3 ]
Park, Yong-Gi [3 ]
Son, Sung-Yong [4 ]
机构：
[1] Photovoltaic Group, Korea Institute of Energy Research, Korea, Republic of
[2] Dept. of Consulting, E3 EXPERT Inc., Korea, Republic of
[3] Dept. of Electrical Engineering, Konkuk University, Korea, Republic of
[4] Dept. of Electrical Engineering, Gachon University, Korea, Republic of
来源：
Transactions of the Korean Institute of Electrical Engineers | 2015年 / 64卷 / 01期
关键词：
Electric power plant loads - Energy efficiency - Economics - Cluster analysis - Energy management;
D O I：
10.5370/KIEE.2015.64.1.041
中图分类号：
学科分类号：
摘要：
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. Copyright © The Korean Institute of Electrical Engineers.
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页码：41 / 47
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