How close are urban scale building simulations to measured data? Examining bias derived from building metadata in urban building energy modeling-Reference-Cited by-同舟云学术

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How close are urban scale building simulations to measured data? Examining bias derived from building metadata in urban building energy modeling

Published:2022-12 Issue: Volume:327 Page:120049
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Bass Brett^ORCID,New Joshua^ORCID,Clinton Nicholas,Adams Mark,Copeland Bill,Amoo Charles^ORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference50 articles.

1. Scaling beyond tax assessor data;New,2020

2. Model America - data and models of every U.S. building;New,2021

3. Accuracy of a crude approach to urban multi-scale building energy models compared to 15-min electricity use;Garrison,2019

4. Quality control methods for advanced metering infrastructure data;Garrison,2021

5. Potential demand reduction from buildings in a simulated utility;Bass,2019

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1. Bottom-up framework for modelling occupancy-based demand-side management strategies in a mixed-use district;Applied Energy;2024-12

2. Living laboratories can and should play a greater role to unlock flexibility in United States commercial buildings;Joule;2024-01

3. Urban Building Energy Modeling with Parameterized Geometry and Detailed Thermal Zones for Complex Building Types;Buildings;2023-10-24

4. Bias Correction in Urban Building Energy Modeling for Chicago Using Machine Learning;2023 Fourth International Conference on Intelligent Data Science Technologies and Applications (IDSTA);2023-10-24

5. An eight-step simulation-based framework to help cities reach building-related emissions reduction goals;Environmental Research: Infrastructure and Sustainability;2023-10-19

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