Evaluating the suitability of regression-based emulators of building performance in practice: a test suite
Author:
Affiliation:
1. arbnco Ltd., Glasgow, UK
2. RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
3. LIPID laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Funder
Swiss National Science Foundation
Publisher
Informa UK Limited
Subject
Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture
Link
https://www.tandfonline.com/doi/pdf/10.1080/19401493.2021.1969430
Reference47 articles.
1. Agarwal, Minu, Parag Rastogi, Margaux Peltier, Luisa Pastore, and Marilyne Andersen. July 2016. “Examining Building Design Decisions Under Long Term Weather Variability and Microclimate Effects: A Case Based Exploratory Study.” Proceedings of PLEA 2016, Los Angeles, USA.
2. On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
3. Bottou, Leon. August 2010. “Large-Scale Machine Learning with Stochastic Gradient Descent.” In Proceedings of the 19th International Conference on Computational Statistics (COMPSTAT'2010), edites by Yves Lechevallier and Gilbert Saporta, 177–187. Springer: Paris, France. URL http://leon.bottou.org/papers/bottou-2010.
4. Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach
Cited by 4 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. Principal component analysis of day‐ahead electricity price forecasting in CAISO and its implications for highly integrated renewable energy markets;WIREs Energy and Environment;2023-11-20
2. Multi-scenario Extreme Weather Simulator application to heat waves: Ko’olauloa community resilience hub;Science and Technology for the Built Environment;2023-11-09
3. Replacing energy simulations with surrogate models for design space exploration;Bauphysik;2022-12
4. Leveraging data: a new frontier in building modelling and advanced control;Journal of Building Performance Simulation;2022-06-18
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