Comparison of data-driven statistical techniques for cooling demand modelling of electric chiller plants in commercial districts-Reference-Cited by-同舟云学术

Comparison of data-driven statistical techniques for cooling demand modelling of electric chiller plants in commercial districts

Published:2021-08-18 Issue: Volume: Page:1-23
ISSN:1940-1493
Container-title:Journal of Building Performance Simulation
language:en
Short-container-title:Journal of Building Performance Simulation

Author:

Fathollahzadeh Mohammad Hassan¹^ORCID,Tabares-Velasco Paulo Cesar¹^ORCID

Affiliation:

1. Mechanical Engineering Department, Colorado School of Mines, Golden, USA

Funder

Colorado School of Mines’ Facilities and Sustainability Offices Minesâ€™ Facilities and Sustainability Offices

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture

Link

https://www.tandfonline.com/doi/pdf/10.1080/19401493.2021.1960423

Reference54 articles.

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4. ASU. ASU Ssolar. 2019 [cited 2019 November 27]. https://cfo.asu.edu/solar.

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