Customer baseline load calculation using time series prediction technique in energy efficiency programs

被引：0

作者：

Koh S.-H. ^{[2
]}

Joo S.-K. ^{[2
]}

Lee J.-H. ^{[3
]}

Moon G.-H. ^{[4
]}

Wi Y.-M. ^{[1
]}

机构：

[1] School of Electrical and Electronic Engineering, Gwangju University

[2] School of Electrical Engineering, Korea University

[3] Dept. of Information and Electronic Engineering, Mokpo National University

来源：

Transactions of the Korean Institute of Electrical Engineers | 2019年 / 68卷 / 01期

关键词：

AMI(Advanced Metering Infrastructure); CBL(Customer Baseline Load); Energy efficiency;

D O I：

10.5370/KIEE.2019.68.1.19

中图分类号：

学科分类号：

摘要：

- As global demand for energy, energy prices, and power generation has increased worldwide, the government is turning to supply-oriented electricity supply and demand policies, such as behavior-based energy efficiency programs. In order to measure the implementation effect of the behavior-based energy efficiency program, the energy reduction must be accurately calculated by calculating the customer baseline load. Copyright © The Korean Institute of Electrical Engineers.

引用

页码：19 / 26

页数：7

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