Work

Combining AI and Simulation to Assess Building Demand Response Potential at Scale

Year: 2025

Type: conference-paper

DOI: 10.1109/eect64505.2025.10966992

Authors: Ruoxu Chen, Zhuofan Tang, Ruike Lyu, Qingrong Zheng, Haotian Song, Hongye Guo

Institutions: Tsinghua University, State Grid Shanghai Municipal Electric Power Company (China)

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4409762183

FWCI:

Cites: 8

Cited by:

Related to: 10