Residential Electricity Rate Plans and Their Selections Based on Statistical Learning-Reference-Cited by-同舟云学术

Residential Electricity Rate Plans and Their Selections Based on Statistical Learning

Published:2022 Issue: Volume:10 Page:74012-74022
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chung Young Mo¹^ORCID,Kang Songhee²^ORCID,Jung Jaeyong³^ORCID,Chung Beom Jin⁴^ORCID,Kim Dong Sik⁵^ORCID

Affiliation:

1. Department of Electronics and Information Engineering, Hansung University, Seoul, Republic of Korea

2. StradVision, Seoul, Republic of Korea

3. School of Computer Science Engineering, Jeonbuk National University, Jeonju-si, Republic of Korea

4. Research Center of Electrical and Information Technology, Seoul National University of Science and Technology, Seoul, Republic of Korea

5. Department of Electronics Engineering, Hankuk University of Foreign Studies, Yongin-si, Republic of Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning (KETEP) through the Ministry of Trade, Industry and Energy (MOTIE) of the Republic of Korea

Basic Science Research Program through the National Research Foundation of Korea (NRF) by the Ministry of Education

Hansung University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09829742.pdf?arnumber=9829742

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