화학공학소재연구정보센터
검색결과 : 4건
No. Article
1 A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings
Chaudhuri T, Soh YC, Li H, Xie L
Applied Energy, 248, 44, 2019
2 A novel feature selection framework with Hybrid Feature-Scaled Extreme Learning Machine (HFS-ELM) for indoor occupancy estimation
Masood MK, Jiang CY, Soh YC
Energy and Buildings, 158, 1139, 2018
3 Optimal coordination of air conditioning system and personal fans for building energy efficiency improvement
Xu ZB, Liu S, Hu GQ, Spanos CJ
Energy and Buildings, 141, 308, 2017
4 Balancing indoor thermal comfort and energy consumption of ACMV systems via sparse swarm algorithms in optimizations
Zhai DQ, Soh YC
Energy and Buildings, 149, 1, 2017