Automated and comprehensive day-type grouping in building energy baseline models with a series of statistical inferences-Reference-Cited by-同舟云学术

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Automated and comprehensive day-type grouping in building energy baseline models with a series of statistical inferences

Published:2022-06-22 Issue:8 Volume:28 Page:1040-1053
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Fu Hongxiang¹²,Baltazar Juan-Carlos²³,Claridge David E.¹²

Affiliation:

1. Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

2. Energy Systems Laboratory, Texas A&M Engineering Experiment Station, College Station, TX, USA

3. Department of Architecture, Texas A&M University, College Station, TX, USA

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Building and Construction,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2022.2087537

Reference56 articles.

1. Understanding Industrial Energy Use Through Lean Energy Analysis

2. An hourly hybrid multi-variate change-point inverse model using short-term monitored data for annual prediction of building energy performance, part II: Methodology (1404-RP)

3. A review of data-driven building energy consumption prediction studies

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