Work

Scenario-based prediction of climate change impacts on building cooling energy consumption with explainable artificial intelligence

Year: 2021

Type: article

Source: Applied Energy

DOI: 10.1016/j.apenergy.2021.116807

Authors: Debaditya Chakraborty, Arafat Alam, Saptarshi Chaudhuri, Hakan Başağaoğlu, Tulio Sulbaran, Sandeep Langar

Institutions: The University of Texas at San Antonio, University of Nebraska–Lincoln, Microsoft (United States), Edwards Aquifer Authority

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy

Open Access status: closed

Funder: University of Texas at San Antonio

OpenAlex ID: W3137953202

FWCI: 11.89

Cites: 92

Cited by: 169

Related to: 10