SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods

SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods

10.1016/j.apenergy.2020.115981

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Bibliographic Details
Main Authors: Roth, Jonathan, Martin, Amory, Miller, Clayton, Jain, Rishee K
Other Authors: DEPT OF BUILDING
Format: Article
Language:English
Published: ELSEVIER SCI LTD 2021
Subjects:
Urban building energy model
Supervised machine learning
Convex optimization
Smart meter
Energy efficiency
Energy prediction
Online Access:https://scholarbank.nus.edu.sg/handle/10635/189342
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Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/189342

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