eplusr: A framework for integrating building energy simulation and data-driven analytics-Reference-Cited by-同舟云学术

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eplusr: A framework for integrating building energy simulation and data-driven analytics

Published:2021-04 Issue: Volume:237 Page:110757
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Jia Hongyuan,Chong Adrian

Funder

University of California Berkeley

National Research Foundation Singapore

Publisher

Elsevier BV

Subject

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

Reference74 articles.

1. Bayesian calibration of building energy models with large datasets;Chong;Energy and Buildings,2017

2. Life-cycle carbon and cost analysis of energy efficiency measures in new commercial buildings;Kneifel;Energy and Buildings,2010

3. Building simulation: Ten challenges;Hong;Building Simulation,2018

4. Building simulation: An overview of developments and information sources;Hong;Building and Environment,2000

5. Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis;Chen;Applied Energy,2017

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