On the impacts of occupancy sensing on advanced model predictive controls in commercial buildings
- 26 July 2022
- journal article
- research article
- Published by Elsevier in Building and Environment
- Vol. 222
Abstract
No abstract availableKeywords
Funding Information
- U.S. Department of Energy
- Battelle (DE-AC05-76RL01830)
- Building Technologies Office (DEAC05-76RL01830)
This publication has 29 references indexed in Scilit:
- Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviorsBuilding and Environment, 2015
- Quality of grey-box models and identified parameters as function of the accuracy of input and observation signalsEnergy and Buildings, 2014
- Sensor-Based Predictive Modeling for Smart Lighting in Grid-Integrated BuildingsIEEE Sensors Journal, 2014
- A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparisonBuilding and Environment, 2014
- Occupancy Modeling and Prediction for Building Energy ManagementACM Transactions on Sensor Networks, 2014
- Dynamic modeling of presence of occupants using inhomogeneous Markov chainsEnergy and Buildings, 2014
- A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecastingBuilding Simulation, 2013
- Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performanceApplied Energy, 2013
- Building operation and energy performance: Monitoring, analysis and optimisation toolkitApplied Energy, 2013
- Building lightweight intrusion detection system using wrapper-based feature selection mechanismsComputers & Security, 2009