Akses Terbuka DOI: 10.5555/fji-demo-001 Cara menggunakan DOI?
Adaptive Cooling Control for Small-Scale Data Centers Using Reinforcement Learning
Nadia Rahmadani* iD1, Budi Santoso iD2
Small data centers in tropical climates face disproportionate cooling costs. We propose a reinforcement-learning controller that adjusts cooling setpoints in response to workload and ambient temperature. In a six-month simulation of a 40-rack facility, the controller reduced cooling energy by 23% compared to a fixed-setpoint baseline while keeping all racks within thermal limits.
Kata kunci: green computing; reinforcement learning; data center cooling
Nadia Rahmadani, Budi Santoso (2026). Adaptive Cooling Control for Small-Scale Data Centers Using Reinforcement Learning. Journal of Sustainable Computing, 3(1), 1–14. https://doi.org/10.5555/fji-demo-001
- DOI
- 10.5555/fji-demo-001
- Tipe artikel
- Artikel Riset
- Halaman
- 1–14
- Terbit
- 2026-06-15
- Metrik
- 254 dilihat · 105 diunduh