A new metric for optimal visual comfort and energy efficiency of building lighting system considering daylight using multi-objective particle swarm optimization
In the past, an optimization-based control strategy of lighting in a building only focused on maximizing energy efficiency in which the results of the visual comfort of occupants is decreased at the minimum level. Therefore, a visual comfort metric model that integrates the artificial lighting and d...
Saved in:
Main Authors: | Wagiman, Khairul Rijal, Abdullah, Mohd. Noor, Hassan, Mohammad Yusri, Mohammad Radzi, Nur Hanis |
---|---|
Format: | Article |
Published: |
Elsevier Ltd
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/95464/ http://dx.doi.org/10.1016/j.jobe.2021.102525 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Daylight adaptive optimal lighting system control strategies for energy savings and visual comfort in commercial buildings
by: Wagiman, Khairul Rijal
Published: (2020) -
Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
by: Wagiman, Khairul Rijal, et al.
Published: (2024) -
Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm
by: Wagiman, Khairul Rijal, et al.
Published: (2024) -
Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
by: Syafrullah, Mohammad
Published: (2015) -
Optimized scheduling for an air-conditioning system based on indoor thermal comfort using the multi-objective improved global particle swarm optimization
by: Haniff, Mohamad Fadzli, et al.
Published: (2019)