Reinforcement Learning Control for HVAC Energy Management System with Instant Operation by Selecting Virtual Building with Similar Environment-Reference-Cited by-同舟云学术

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Reinforcement Learning Control for HVAC Energy Management System with Instant Operation by Selecting Virtual Building with Similar Environment

Published:2023-01-01 Issue:1 Volume:143 Page:27-34
ISSN:0913-6339
Container-title:IEEJ Transactions on Industry Applications
language:en
Short-container-title:IEEJ Trans. IA

Author:

Aoki Yoshifumi¹,Takahashi Yusuke¹,Ninagawa Chuzo¹,Morikawa Junji²

Affiliation:

1. Gifu University

2. Mitsubishi Heavy Industries Thermal Systems, Ltd.

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering

Link

https://www.jstage.jst.go.jp/article/ieejias/143/1/143_27/_pdf

Reference32 articles.

1. (1) Electricity Systems Reform Subcommittee: “The Report of Electricity Systems Reform Subcommittee” (2013)

2. 電力システム改革専門委員会：「電力システム改革専門委員会報告書」(2013)

3. (2) HM Government: “British Energy Security Strategy—Secure, Clean and Affordable British Energy for the Long Term” (2022)

4. (3) Japan Electrotechnical Committee: “Energy Service by Building Air-conditioners”, JEC-TR-59004: 2019 (2019)

5. 電気規格調査会：「ビル用マルチエアコンによるエネルギーサービスに関する標準仕様」, JEC-TR-59004: 2019 (2019)

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