Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow

Author:

Nutkiewicz Alex,Yang Zheng,Jain Rishee K.

Funder

UPS Foundation

Center for Integrated Facility Engineering

Terman Faculty Fellowship

US National Science Foundation

Publisher

Elsevier BV

Subject

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

Reference95 articles.

1. United Nations. World’s population increasingly urban with more than half living in urban areas; 2014. [Online]. Available: .

2. United States Energy Information Administration. Annual energy outlook 2017; 2017. [Online]. Available: .

3. United Nations Environment Programme. Cities and buildings; 2013. [Online]. Available: .

4. Breaking Energy. The top ten ways we waste energy in water and buildings; 2011. [Online]. Available: .

5. San Francisco Dept. of Environment. San Francisco existing commercial buildings performance report; 2014. [Online]. Available: .

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