Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and optimization-Reference-Cited by-同舟云学术

Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and optimization

Published:2021-12 Issue: Volume:253 Page:111439
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Li Lu^ORCID,Fu Yunfei,Fung Jimmy C.H.,Qu Huamin,Lau Alexis K.H.

Funder

HKUST

HSBC Bank USA

Publisher

Elsevier BV

Subject

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

Reference71 articles.

1. Provincial emission accounting for CO2 mitigation in China: insights from production, consumption and income perspectives;Chen;Appl. Energy,2019

2. Environmental profile on building material passports for hot climates;Almusaed;Sustainability,2020

3. Retail electricity pricing via online-learning of data-driven demand response of HVAC systems;Yoon;Appl. Energy,2020

4. Commercial Buildings Energy Consumption Survey (CBECS);File,2015

5. Recognising the potential for renewable energy heating and cooling;Seyboth;Energy Policy,2008

Cited by 42 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. Development of a mixed chamber experimental and CFD database of indoor environments;Building and Environment;2024-10

2. A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks;Sustainability;2024-09-07

3. Prediction of stratified ground consolidation via a physics‐informed neural network utilizing short‐term excess pore water pressure monitoring data;Computer-Aided Civil and Infrastructure Engineering;2024-08-17

4. Improvised grey wolf optimizer assisted artificial neural network (IGWO-ANN) predictive models to accurately predict the permeate flux of desalination plants;Heliyon;2024-07

5. A systematic review of multi-output prediction model for indoor environment and heating, ventilation, and air conditioning energy consumption in buildings;Indoor and Built Environment;2024-06-13