A data-driven system for city-scale personal energy footprint estimations-Reference-Cited by-同舟云学术

A data-driven system for city-scale personal energy footprint estimations

Published:2018-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th Conference on Systems for Built Environments
language:
Short-container-title:

Author:

Wei Peter¹,Jiang Xiaofan¹

Affiliation:

1. Columbia University

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3276774.3281018

Reference6 articles.

1. Sarah Darby et al. 2006. The effectiveness of feedback on energy consumption. A Review for DEFRA of the Literature on Metering Billing and direct Displays 486 2006 (2006) 26. Sarah Darby et al. 2006. The effectiveness of feedback on energy consumption. A Review for DEFRA of the Literature on Metering Billing and direct Displays 486 2006 (2006) 26.

2. The case for apportionment

3. Constantine E Kontokosta and Christopher Tull. 2017. A data-driven predictive model of city-scale energy use in buildings. Applied energy 197 (2017) 303--317. Constantine E Kontokosta and Christopher Tull. 2017. A data-driven predictive model of city-scale energy use in buildings. Applied energy 197 (2017) 303--317.

4. Mitchell Moss and Carson Qing. 2012. The Dynamic Population of Manhattan. Rudin Center for Transportation NYU Wagner School. Mitchell Moss and Carson Qing. 2012. The Dynamic Population of Manhattan. Rudin Center for Transportation NYU Wagner School.

5. PEAT, how much am i burning?

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