Machine learning-based cooling load prediction and optimal control for mechanical ventilative cooling in high-rise buildings-Reference-Cited by-同舟云学术

Machine learning-based cooling load prediction and optimal control for mechanical ventilative cooling in high-rise buildings

Published:2021-07 Issue: Volume:242 Page:110980
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Sha Haohan,Moujahed Majd,Qi Dahai^ORCID

Funder

NSERC

Publisher

Elsevier BV

Subject

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

Reference69 articles.

1. OECD/IEA, The future of cooling opportunities for energy-efficient air conditioning, 2018. www.iea.org/t&c/.

2. Natural resources Canada, Commercial/Institutional secondary energy use (final demand) by energy source, end use and activity type, (2019). https://oee.nrcan.gc.ca/corporate/statistics/neud/dpa/showTable.cfm?type=HB§or=com&juris=00&rn=1&page=0 (accessed July 1, 2020).

3. Climate Atlas of Canada, Cooling degree days (RCP 8.5), (2019). https://climateatlas.ca/data/grid/300/cooldd_2030_85/line (accessed July 1, 2020).

4. Energy use and height in office buildings;Godoy-Shimizu;Build. Res. Inf.,2018

5. A study of hybrid ventilation in an institutional building for predictive control;Yuan;Build. Environ.,2018

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IoT-Enabled energy conservation in residential Buildings: Machine learning models for analyzing annual solar power consumption;Solar Energy;2024-10

2. Accurate cooling load estimation using multi-layer perceptron machine learning models;Signal, Image and Video Processing;2024-07-27

3. A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management;Thermo;2024-03-06

4. Hybrid energy system integration and management for solar energy: A review;Energy Conversion and Management: X;2024-01

5. A novel machine learning-based model predictive control framework for improving the energy efficiency of air-conditioning systems;Energy and Buildings;2023-09