WESBES: A wireless embedded sensor for improving human comfort metrics using temporospatially correlated data

Design and application of occupant voting systems for collecting occupant feedback on indoor environmental quality of buildings – A review

“…This can along with indoor environmental data be used by FM for energy and IEQ management (e.g. [52][53][54]), benchmarking of building operation [55] as well as to give insights to FM to improve building operation by retrofitting of existing systems [27]. For example, some of the FM-based OVS collected data for fault detection and diagnostic (FDD) by making it easier for occupants to report system faults (e.g.…”

“…"McIntyre" (Warmer -No change -Cooler) was typically used in control-and FM-based OVS for collecting votes on thermal preference (e.g. [28,45,54]). One of the social-based OVS [64] used a modified scale denoted as "McIntyre/Bedford" scale, where "No change" was modified to "Comfortable".…”

“…"Likert" was typically used in FM-and social-based OVS to collect comfort votes on thermal or light (e.g. [54,56]) or in research-based OVS to collect comfort or acceptability votes related to IAQ or light [9,17]. FM-based OVS frequently used feedback through "comment sections" (e.g.…”

An Optimal and Learning-Based Demand Response and Home Energy Management System

“…However, the PMV model has a number of drawbacks, including its inability to consider behavioral variations and the ability of humans to adapt to thermal environments [33]. To address these challenges, researchers have recently proposed personalized comfort profiles or sensing approaches in order to enable personalized comfort driven HVAC operations [34][35][36][37][38]. In a DR framework, this represents an occupant-driven temperature settings of Ti min and Ti max during 24 hours of a day.…”