An Improved Optimization Function for Maximizing User Comfort with Minimum Energy Consumption in Smart Homes
In the smart home environment, efficient energy management is a challenging task. Solutions are needed to achieve a high occupant comfort level with minimum energy consumption. User comfort is measured in terms of three fundamental parameters: (a) thermal comfort, (b) visual comfort and (c) air qual...
Main Authors: | Israr Ullah, DoHyeun Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-11-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/10/11/1818 |
Similar Items
-
Energy Consumption Optimization and User Comfort Management in Residential Buildings Using a Bat Algorithm and Fuzzy Logic
by: Muhammad Fayaz, et al.
Published: (2018-01-01) -
Improving Grey Prediction Model and Its Application in Predicting the Number of Users of a Public Road Transportation System
by: Balochian Saeed, et al.
Published: (2020-07-01) -
Competitive Coevolution-Based Improved Phasor Particle Swarm Optimization Algorithm for Solving Continuous Problems
by: Omer Ali, et al.
Published: (2023-10-01) -
SC: A NOVEL FUZZY CRITERION FOR SOLVING ENGINEERING AND CONSTRAINED OPTIMIZATION PROBLEMS
by: Sergio G. De los Cobos Silva, et al.
Published: (2017-04-01) -
Dynamical Sphere Regrouping Particle Swarm Optimization: A Proposed Algorithm for Dealing with PSO Premature Convergence in Large-Scale Global Optimization
by: Martín Montes Rivera, et al.
Published: (2023-10-01)