OAK

Residential Electricity Rate Plans and Their Selections Based on Statistical Learning

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Type
Article
Author(s)
정영모
Department
전자트랙
Creator
YOUNG MO CHUNGSONGHEE KANGJAEYONG JUNGBEOM JIN CHUNGDONG SIK KIM
Citation Title
IEEE ACCESS
Citation Number
10
Citation Start Page
74012
Issued Date
2022-07
DOI
10.1109/ACCESS.2022.3190892
EISSN
2169-3536
Publisher
IEEE Access
Keyword
Advanced metering infrastructure (AMI)deep neural network (DNN)linear regressionsupport vector machine (SVM)progressive ratetime-of-use (TOU) rate
URI
http://dspace.hansung.ac.kr/handle/2024.oak/1857
Appears in Collections:
전자트랙 > 1. Journal Articles
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