Review of data-driven models for quantifying load shed by non-residential buildings in the United States-Reference-Cited by-同舟云学术

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Review of data-driven models for quantifying load shed by non-residential buildings in the United States

Published:2024-12 Issue: Volume:206 Page:114870
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Malhotra Yashvi^ORCID,Polly Ben^ORCID,MacDonald Jason,Clark Jordan D.^ORCID

Funder

National Renewable Energy Laboratory

U.S. Department of Energy

Publisher

Elsevier BV

Reference76 articles.

1. Order No. 719 | Federal Energy Regulatory Commission.” Accessed: Apr. 20, 2023. [Online]. Available: https://www.ferc.gov/media/order-no-719.

2. Automated critical PeakPricing Field Tests: 2006 Pilot ProgramDescription and results;Piette,2007

3. Assessment of peak power demand reduction available via modulation of building ventilation systems;Young;Energy Build,2020

4. Energy savings with outdoor temperature-based smart ventilation control strategies in advanced California homes;Less;Energy Build,2019

5. Efficacy of occupancy-based smart ventilation control strategies in energy-efficient homes in the United States;Clark;Build Environ,2019

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