| 1 |
Development and optimization of artificial neural network algorithms for the prediction of building specific local temperature for HVAC control
Demirezen G, Fung AS, Deprez M
International Journal of Energy Research, 44(11), 8513, 2020 |
| 2 |
The relationship between indoor and outdoor temperature in warm and cool seasons in houses in Brisbane, Australia
Asumadu-Sakyi AB, Barnett AG, Thai P, Jayaratne ER, Miller W, Thompson MH, Roghani R, Morawska L
Energy and Buildings, 191, 127, 2019 |
| 3 |
Effects of intelligent strategy planning models on residential HVAC system energy demand and cost during the heating and cooling seasons
Alibabaei N, Fung AS, Raahemifar K, Moghimi A
Applied Energy, 185, 29, 2017 |
| 4 |
A hybrid model approach for forecasting future residential electricity consumption
Dong B, Li ZX, Rahman SMM, Vega R
Energy and Buildings, 117, 341, 2016 |
| 5 |
Development of Matlab-TRNSYS co-simulator for applying predictive strategy planning models on residential house HVAC system
Alibabaei N, Fung AS, Raahemifar K
Energy and Buildings, 128, 81, 2016 |
