Estimating Building Electricity Performance Gaps with Internet of Things Data Using Bayesian Multilevel Additive Modeling-Reference-Cited by-同舟云学术

Estimating Building Electricity Performance Gaps with Internet of Things Data Using Bayesian Multilevel Additive Modeling

Published:2020-12 Issue:12 Volume:146 Page:05020017
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Chang Soowon¹,Castro-Lacouture Daniel²,Yamagata Yoshiki³

Affiliation:

1. Assistant Professor, School of Construction Management Technology, Polytechnic Institute, Purdue Univ., 401 Grant St., West Lafayette, IN 47097 (corresponding author).

2. Professor and Chair, School of Building Construction, College of Design, Georgia Institute of Technology, 280 Ferst Dr., Atlanta, GA 30332-0680.

3. Principal Researcher, Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki Prefecture 305-0053, Japan.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001930

Reference37 articles.

1. Uncalibrated Building Energy Simulation Modeling Results

2. Three-Stage Least-Squares Analysis of Time and Cost Overruns in Construction Contracts

3. brms: An R Package for Bayesian Multilevel Models Using Stan

4. Advanced Bayesian Multilevel Modeling with the R Package brms

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