Analysis of Building Model Forecasts using Autonomous HVAC Optimization System for Residential Neighborhood

• DOI: 10.1109/ecce53617.2023.10362041
• Publication Date: 2023-12-29T14:27:17Z
• Authors: Viswadeep Lebakula; Helia Zandi; Christopher Winstead; Eve Tsybina; Teja Kuruganti; Justin Hill
• Keywords: Model Predictive Control; Building management system

Heating, ventilation, and air conditioning (HVAC) systems account for the highest share of home energy consumption in United States. Optimized HVAC control can provide thermal improved comfort to occupants, improve efficiency, reduce cost, support grid services. In this paper, we discuss a multi-agent cloud-based software framework that has been deployed occupied residential neighborhood. This system enables automatic data collection, learning, optimization, dispatches signals neighborhood devices. optimization is based on model predictive (MPC). Since operational performance MPC depends forecasting accuracy, it crucial evaluate continuously modify or retrain as necessary. research, developed an automated workflow temperature power forecasts measured real world. will researchers with deeper understanding how be improved.