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HSU Repository IT공과대학 기계전자공학부 전자트랙 1. Journal Articles

Residential Electricity Rate Plans and Their Selections Based on Statistical Learning

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Type
Article
Author(s)
CHUNG, YOUNGMO; KANG, SONGHEE; JUNG, JAEYONG; CHUNG, BEOMJIN; KIM, DONGSIK
Department
전자트랙
Citation Title
IEEE ACCESS
Citation Number
10
Citation Start Page
74012
Citation End Page
74022
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 regression; support vector machine (SVM); progressive rate; time-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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