Sugumar Murugesan

BUILDING SYSTEM WITH MULTI-TIERED MODEL BASED OPTIMIZATION FOR VENTILATION AND SETPOINT CONTROL

Adaptive selection of machine learning/deep learning model with optimal hyper-parameters for anomaly detection of connected equipment

Methods and systems for training building control using simulated and real experience data

Adaptive training and deployment of single device and clustered device fault detection models for connected equipment

Building control system using reinforcement learning

Building system with adaptive fault detection

Robust fault detection and diagnosis by constructing an ensemble of detectors

Methods and systems for training HVAC control using surrogate model

Methods and systems for training HVAC control using simulated and real experience data

Building system with early fault detection

Building management system with dynamic energy prediction model updates

Building system with probabilistic forecasting using a recurrent neural network sequence to sequence model

Building system with model training to handle selective forecast data

Building system with selective use of data for probabilistic forecasting

Adaptive training and deployment of single chiller and clustered chiller fault detection models for connected chillers

Adaptive selection of machine learning/deep learning model with optimal hyper-parameters for anomaly detection of connected chillers

Automatic threshold selection of machine learning/deep learning model for anomaly detection of connected chillers

Building management HVAC control using user voice feedback

Building management autonomous HVAC control using reinforcement learning with occupant feedback