Occupancy-based HVAC control using deep learning algorithms for estimating online preconditioning time in residential buildings
Authors:
- Mohammad Esrafilian-NajafabadiMEMohammad Esrafilian-Najafabadi
- Fariborz HaghighatFHFariborz Haghighat
- 1 December 2021
- journal article
- research article
- Published by Elsevier in Energy and Buildings
- Vol. 252
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- Experimental study of occupancy-based control of HVAC zonesApplied Energy, 2015
- Heating and cooling energy trends and drivers in buildingsRenewable and Sustainable Energy Reviews, 2015
- A Human Expert-Based Approach to Electrical Peak Demand ManagementIEEE Transactions on Power Delivery, 2014
- Sentinel2013
- ThermoSense2013
- Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performanceApplied Energy, 2013
- Importance of occupancy information for building climate controlApplied Energy, 2013
- How people use thermostats in homes: A reviewBuilding and Environment, 2011
- The correlation coefficient: Its values range between +1/−1, or do they?Journal of Targeting, Measurement and Analysis for Marketing, 2009
- TOPSIS for MODMEuropean Journal of Operational Research, 1994