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
收藏
页码：19 / 26
页数：7
相关论文
共 50 条
  • [1] Improvements to the customer baseline load (CBL) using standard energy consumption considering energy efficiency and demand response
    Lee, Junghun
    Yoo, Seunghwan
    Kim, Jonghun
    Song, Doosam
    Jeong, Hakgeun
    ENERGY, 2018, 144 : 1052 - 1063
  • [2] Prediction of Time Series Based on Load Profile using Jade Technique
    Hussain, Mashitah Mohd
    Zakaria, Zuhaina
    Rifin, Rozi
    Hussin, Mohamad Zhafran
    Rahman, N. H. Abdul
    Ilham, Nur Iqtiyani
    Zain, Norlina Mohd
    Sani, Maizura Mohd
    2017 IEEE 8TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM (ICSGRC), 2017, : 33 - 36
  • [3] Customer Baseline Load (CBL) Calculation using Exponential Smoothing Model with Weather Adjustment
    Wi, Young-Min
    Kim, Ji-Hui
    Joo, Sung-Kwan
    Park, Jong-Bae
    Oh, Jae-Chul
    T& D ASIA: 2009 TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: ASIA AND PACIFIC, 2009, : 114 - +
  • [4] An Investigation of the Relationship between Accuracy of Customer Baseline Calculation and Efficiency of Peak Time Rebate Program
    Mohajeryami, Saeed
    Doostan, Milad
    Asadinejad, Ailin
    2016 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2016,
  • [5] Calculation method and application of customer baseline load in demand response project
    School of Electrical Engineering, Southeast University, Nanjing 210096, China
    Dongnan Daxue Xuebao, 3 (556-560):
  • [6] The impact of Customer Baseline Load (CBL) calculation methods on Peak Time Rebate program offered to residential customers
    Mohajeryami, Saeed
    Doostan, Milad
    Schwarz, Peter
    ELECTRIC POWER SYSTEMS RESEARCH, 2016, 137 : 59 - 65
  • [7] Error Analysis of Customer Baseline Load (CBL) Calculation Methods for Residential Customers
    Mohajeryami, Saeed
    Doostan, Milad
    Asadinejad, Ailin
    Schwarz, Peter
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2017, 53 (01) : 5 - 14
  • [8] Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering
    Alzate, Carlos
    Espinoza, Marcelo
    De Moor, Bart
    Suykens, Johan A. K.
    ARTIFICIAL NEURAL NETWORKS - ICANN 2009, PT II, 2009, 5769 : 315 - 324
  • [9] Load Profile Prediction Using Customer Characteristics
    Yoder, Elizabeth
    Williams, Nathaniel J.
    2020 IEEE PES & IAS POWERAFRICA CONFERENCE, 2020,
  • [10] Estimation of rebate level for energy efficiency programs using optimization technique
    Park, Jong-Jin
    So, Chol-Ho
    Kim, Jin-O.
    Transactions of the Korean Institute of Electrical Engineers, 2008, 57 (03): : 369 - 374
12345