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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Effendi Dodi Arisandi
Badan Riset dan Inovasi Nasional (BRIN)
Control & Systems Engineering Electrical & Electronics Engineering

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Optimization of hybrid GA-PSO-based energy management with Six Sigma penalty in buildings K. N. Nurwijayanti; Rustam Asnawi; Handaru Jati; Linda Faridah; Effendi Dodi Arisandi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i3.pp2259-2270

Abstract

This study proposes the optimization of a hybrid genetic algorithm-particle swarm optimization (GA-PSO) building energy management combined with Six Sigma for quality control. The main problems include high energy consumption, large carbon emissions, and performance variability. Six Sigma is applied through control limits (UCL/LCL) and process capability index (Cpk) so that the solution is not only efficient but also stable. Using 30 days of operational data, the model evaluates daily energy consumption (kWh) and carbon emissions, then compares the baseline with pure GA, pure PSO, and GA-PSO+Six Sigma. The results show that GA-PSO reduces average energy consumption by 5.1% compared to GA and 3.5% compared to PSO. When combined with Six Sigma, the savings increased to 7.5% compared to GA and 6.6% compared to PSO, while reducing carbon emissions without compromising operational comfort. These findings present a measurable, sustainable, low-carbon building energy management model that is aligned with the decarbonization framework and ISO 50001 best practices.
Co-Authors Faridah, Linda Handaru Jati K. N. Nurwijayanti Rustam Asnawi