Work

Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach

Year: 2024

Type: article

Source: Energy and Buildings

DOI: 10.1016/j.enbuild.2024.115102

Authors: Mohammad Nyme Uddin, Minhyun Lee, Xue Cui, Xuange Zhang

Institution: Hong Kong Polytechnic University

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: Hong Kong Polytechnic University, Department of Building and Real Estate, Hong Kong Polytechnic University

OpenAlex ID: W4404630677

FWCI: 3.913

Cites: 50

Cited by: 21

Related to: 10