Data Driven Thermal Comfort Model for Smart Home Energy Management System

Srinivas Yelisetti, Vikash Kumar Saini, Rajesh Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Recent years have seen an increase in the popularity of smart and energy-efficient homes. The main issue in developing a control system for such a structure is to reduce energy usage without sacrificing customer satisfaction. This article has proposed a multi-objective paradigm to achieve this goal. Visual, air quality, and thermal comfort are considered. Particle swarm optimization (PSO) is utilised to optimise the overall system. It is still difficult to ensure that all occupants are satisfied with their thermal comfort because of how various people's body temperatures are established. In this paper, a data-driven approach is proposed to predict user thermal comfort in residential houses. The interior comfort temperature of each individual occupant has been predicted using an artificial neural network (ANN) prediction model, which may be utilised as the comfort temperature reference for heating, ventilation, and air conditioning (HVAC) management systems. The proposed model has been compared with single objective comfort maximisation with variable thermal comfort set points for individual occupants and a constant set point for all occupants, and the proposed model has shown its efficacy.

Original languageEnglish
Title of host publication10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665455664
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2022 - Jaipur, India
Duration: 14 Dec 202217 Dec 2022

Publication series

Name10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2022

Conference

Conference10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2022
Country/TerritoryIndia
CityJaipur
Period14/12/2217/12/22

Keywords

  • Heating Ventilation and Air Conditioning Sys-tem
  • Home Energy Management System
  • Thermal Comfort

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

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