Influence of a Better Prediction of Thermal Satisfaction for the Implementation of an HVAC-Based Demand Response Strategy

• Published in: Energies (Basel) Vol. 15; no. 9; p. 3094
• Main Authors: Lim, Jongyeon, Choi, Wonjun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 23.04.2022
• Subjects: Air conditioning; Algorithms; demand response strategy; Energy; Energy consumption; Energy management; Environmental conditions; Facilities management; HVAC; occupant performance; Operators; predicted mean vote; Prediction models; Productivity; Regression analysis; Software; thermal comfort; Thermal environments; thermal satisfaction; thermal sensation

Building system operation faces the challenge of reducing energy use and implementing a demand response, which can be defined as a temporary modification in energy loads affecting dynamic energy price and reliability information. The heating, ventilation, and air-conditioning (HVAC) system in buildi...