Wagiman, Khairul Rijal and Md Adnan, Mohd Faiz and Hussin, Imran and Md Nor, Mohd Hairwan and Din, Asri (2024) Daylight-adaptive lighting control techniques: A comparative analysis of particle swarm optimization and firefly algorithm. In: 2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA), 4 March 2024 through 5 March 2024, Pulau Pinang, Malaysia.
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Daylight-Adaptive Lighting Control Techniques A Comparative Analysis of Particle Swarm Optimization and Firefly Algorithm.pdf Restricted to Registered users only Download (645kB) |
Abstract
Lighting in commercial buildings consumes a substantial amount of energy. Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupants’ visual comfort in an indoor environment. An office room was considered to test the performance of the PSO and FA techniques. The proposed methods showed superior performance in minimizing the cost of energy consumption by more than $60 \%$ while satisfying illuminance-based metrics mentioned by the European Standard EN 12464-1. Based on the comparative result, PSO outperformed FA by $3 \%$ in energy savings. Due to its performance, the proposed PSO method can be utilized for other types of buildings.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Daylight-adaptive control, Energy efficiency, Firefly algorithm, Particle swarm optimization, Optimization-based control |
| Divisions: | Faculty Of Electrical Technology And Engineering |
| Depositing User: | NUR FARISAH JAFRIN |
| Date Deposited: | 15 Jun 2026 04:52 |
| Last Modified: | 15 Jun 2026 04:52 |
| URI: | http://eprints.utem.edu.my/id/eprint/29727 |
| Statistic Details: | View Download Statistic |
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