| 1 |
Energy optimization of high-rise commercial buildings integrated with photovoltaic facades in urban context
Chen X, Yang HX, Peng JQ
Energy, 172, 1, 2019 |
| 2 |
Data-driven building archetypes for urban building energy modelling
Pasichnyi O, Wallin J, Kordas O
Energy, 181, 360, 2019 |
| 3 |
An archetype-in-neighbourhood framework for modelling cooling energy demand of a city's housing stock
Yi CY, Peng CZ
Energy and Buildings, 196, 30, 2019 |
| 4 |
Urban energy energy modeling and calibration of a coastal Mediterranean city: The case of Beirut
Krayem A, Al Bitar A, Ahmad A, Faour G, Gastellu-Etchegorry JP, Lakkis I, Gerard J, Zaraket H, Yeretzian A, Najem S
Energy and Buildings, 199, 223, 2019 |
| 5 |
Hierarchical calibration of archetypes for urban building energy modeling
Kristensen MH, Hedegaard RE, Petersen S
Energy and Buildings, 175, 219, 2018 |
| 6 |
Improved modelling of thermal energy savings potential in the existing residential stock using a newly available data source
Dineen D, Rogan F, Gallachoir BPO
Energy, 90, 759, 2015 |
| 7 |
Modelling opportunities and costs associated with energy conservation in the Spanish building stock
Mata E, Benejam GM, Kalagasidis AS, Johnsson F
Energy and Buildings, 88, 347, 2015 |
| 8 |
Performance of two-stage variable capacity air source heat pump: Field performance results and TRNSYS simulation
Safa AA, Fung AS, Kumar R
Energy and Buildings, 94, 80, 2015 |
| 9 |
Heating and cooling performance characterisation of ground source heat pump system by testing and TRNSYS simulation
Safa AA, Fung AS, Kumar R
Renewable Energy, 83, 565, 2015 |
| 10 |
UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands
Korolija I, Marjanovic-Halburd L, Zhang Y, Hanby VI
Energy and Buildings, 60, 152, 2013 |
