Work

Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems

Year: 2024

Type: conference-paper

Source: IEEE Conference on Control Technology and Applications (CCTA)

DOI: 10.1109/ccta60707.2024.10666537

Authors: Farshud Sorouifar, Joel A. Paulson, Ye Wang, Rien Quirynen, Christopher R. Laughman, Ankush Chakrabarty

Institutions: The Ohio State University, Mitsubishi Electric Research Laboratories (United States)

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4402453348

FWCI: 2.124

Cites: 21

Cited by: 2

Related to: 10