Optimization of thermal comfort, indoor quality, and energy-saving in campus classroom through deep Q learning

Artificial Intelligence-Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 1. Problem Formulation and the Hypothesis

(2019) Chin-Chi Cheng et al.   SENSORS

Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm

(2019) William Valladares et al.   BUILDING AND ENVIRONMENT

A Novel Method Based on Neural Networks for Designing Internal Coverings in Buildings: Energy Saving and Thermal Comfort

(2019) José A. Orosa et al.   Applied Sciences-Basel

Carbon dioxide generation rates for building occupants

(2017) A. Persily et al.   INDOOR AIR

Automatic Control System for Thermal Comfort Based on Predicted Mean Vote and Energy Saving

(2015) K. L. Ku et al.   IEEE Transactions on Automation Science and Engineering

Neural networks based predictive control for thermal comfort and energy savings in public buildings

(2012) P.M. Ferreira et al.   ENERGY AND BUILDINGS