| 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 |
Determinants of willingness-to-pay for attributes of power outage - An empirical discrete choice experiment addressing implications for fuel switching in developing countries
Zemo KH, Kassahun HT, Olsen SB
Energy, 174, 206, 2019 |
| 3 |
The likely implications of the new IMO standards on the shipping industry
Halff A, Younes L, Boersma T
Energy Policy, 126, 277, 2019 |
| 4 |
Power sector reform and CO2 abatement costs in Korea
Ahn YH, Jeon W
Energy Policy, 131, 202, 2019 |
| 5 |
Heating system upgrades: The role of knowledge, socio-demographics, building attributes and energy infrastructure
Curtis J, McCoy D, Aravena C
Energy Policy, 120, 183, 2018 |
| 6 |
A new graphical method to target carbon dioxide emission reductions by simultaneously aligning fuel switching, energy saving, investment cost, carbon credit, and payback time
Mahmoud A, Sunarso J
International Journal of Energy Research, 42(4), 1551, 2018 |
| 7 |
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 |
| 8 |
Techno-economic evaluation of strategies for addressing energy and environmental challenges of industrial boilers in China
Shen B, Han YF, Price L, Lu HY, Liu MZ
Energy, 118, 526, 2017 |
| 9 |
A dynamic approach to environmental compliance decisions in US Electricity Market: The Acid Rain Program revisited
Hancevic PI
Energy Policy, 106, 129, 2017 |
| 10 |
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 |
