An energy consumption prediction method for HVAC systems using energy storage based on time series shifting and deep learning-Reference-Cited by-同舟云学术

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An energy consumption prediction method for HVAC systems using energy storage based on time series shifting and deep learning

Published:2023-11 Issue: Volume:298 Page:113508
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Liu Huiheng,Liu Yanchen,Guo Xun,Wu Huijun,Wang Huan,Liu Yanni

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference46 articles.

1. Global, A. B. C. 2020 Global Status Report for Buildings and Construction. Global Alliance for Buildings and Construction. Paris, France, 2020.

2. Chinese Society For Urban Studies. 2021 Annual Development Research Report on Building Energy Efficiency in China. Beijing, China, 2022.

3. Renewable and efficient electric power systems;Masters,2013

4. Building-to-grid predictive power flow control for demand response and demand flexibility programs;Razmara;Appl. Energy,2017

5. Prospects of cool thermal storage utilization in Saudi Arabia;Hasnain;Energy Convers. Manage.,2000

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