Prediction and optimization of heating and cooling loads for low energy buildings in Morocco: An application of hybrid machine learning methods
Author:
Publisher
Elsevier BV
Subject
Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference61 articles.
1. Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms;Chegari;Energy Build,2021
2. Future energy-optimised buildings - addressing the impact of climate change on buildings;Bamdad;Energy Build,2021
3. A computational multi-objective optimization method to improve energy efficiency and thermal comfort in dwellings;Bre;Energy Build,2017
4. On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design;Asadi;Energy Build,2014
5. Analysis of thermal energy demand and saving in industrial buildings: a case study in Slovakia;Katunsky;Build. Environ.,2013
Cited by 30 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. A simple load model based on hybrid mechanism and data-driven approach for district heating in building complex;Energy and Buildings;2024-11
2. Machine learning-based predicting of PCM-integrated building thermal performance: An application under various weather conditions in Morocco;Journal of Building Engineering;2024-11
3. Controllable cross-building multi-objective optimisation for NZEBs: A framework Utilising parametric generation and intelligent algorithms;Applied Energy;2024-11
4. HALO: HVAC Load Forecasting With Industrial IoT and Local–Global-Scale Transformer;IEEE Internet of Things Journal;2024-09-01
5. Bayesian regression modeling and inference of energy efficiency data: the effect of collinearity and sensitivity analysis;Frontiers in Energy Research;2024-07-30
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3