| 1 |
Self-organizing profiles to characterize representative temporal settings for daylight simulations
Ayoub M
Solar Energy, 214, 248, 2021 |
| 2 |
Building energy demand assessment through heating degree days: The importance of a climatic dataset
D'Amico A, Ciulla G, Panno D, Ferrari S
Applied Energy, 242, 1285, 2019 |
| 3 |
A novel approach for selecting typical hot-year (THY) weather data
Guo SY, Yan D, Hong TZ, Xiao C, Cui Y
Applied Energy, 242, 1634, 2019 |
| 4 |
Does typical weather data allow accurate predictions of daylight quality and daylight-responsive control system performance
Wang J, Wei MC, Chen L
Energy and Buildings, 184, 72, 2019 |
| 5 |
Integrating climate change into meteorological weather data for building energy simulation
Farah S, Whaley D, Saman W, Boland J
Energy and Buildings, 183, 749, 2019 |
| 6 |
Assessment of future renewable energy scenarios in South Korea based on costs, emissions and weather-driven hourly simulation
Park M, Barrett M, Cassarino TG
Renewable Energy, 143, 1388, 2019 |
| 7 |
On the assessment of urban heat island phenomenon and its effects on building energy performance: A case study of Rome (Italy)
Guattari C, Evangelisti L, Balaras CA
Energy and Buildings, 158, 605, 2018 |
| 8 |
A novel building energy efficiency evaluation index: Establishment of calculation model and application
Liu Y, Yang L, Zheng WX, Liu T, Zhang XR, Liu JP
Energy Conversion and Management, 166, 522, 2018 |
| 9 |
Improving the calibration of building simulation with interpolated weather datasets
Oiler PE, Rodriguez JMA, Gonzalez AS, Farina EA, Alvarez EG
Renewable Energy, 122, 608, 2018 |
| 10 |
Using ensemble weather predictions in district heating operation and load forecasting
Dahl M, Brun A, Andresen GB
Applied Energy, 193, 455, 2017 |
