| 1 |
A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data
Niemierko R, Toppel J, Trankler T
Applied Energy, 233, 691, 2019 |
| 2 |
Mapping the energy performance gap of dwelling stock at high-resolution scale: Implications for thermal comfort in Portuguese households
Palma P, Gouveia JP, Simoes SG
Energy and Buildings, 190, 246, 2019 |
| 3 |
How well are energy performance objectives being achieved in renovated apartment buildings in Estonia?
Hamburg A, Kalamees T
Energy and Buildings, 199, 332, 2019 |
| 4 |
Quantifying the impact of urban climate by extending the boundaries of urban energy system modeling
Perera ATD, Coccolo S, Scartezzini JL, Mauree D
Applied Energy, 222, 847, 2018 |
| 5 |
Understanding energy consumption in high-performance social housing buildings: A case study from Canada
Rouleau J, Gosselin L, Blanchet P
Energy, 145, 677, 2018 |
| 6 |
A statistically-based fault detection approach for environmental and energy management in buildings
Horrigan M, Turner WJN, O'Donnell J
Energy and Buildings, 158, 1499, 2018 |
| 7 |
Mapping failures in energy and environmental performance of buildings
Borgstein EH, Lamberts R, Hensen JLM
Energy and Buildings, 158, 476, 2018 |
| 8 |
Building energy performance diagnosis using energy bills and weather data
Geng Y, Ji WJ, Lin BR, Hong JJ, Zhu YX
Energy and Buildings, 172, 181, 2018 |
| 9 |
Consumer behavior in energy-efficient homes: The limited merits of energy performance ratings as benchmarks
Heesen F, Madlener R
Energy and Buildings, 172, 405, 2018 |
| 10 |
Comparison of whole house heat loss test methods under controlled conditions in six distinct retrofit scenarios
Alzetto F, Farmer D, Fitton R, Hughes T, Swan W
Energy and Buildings, 168, 35, 2018 |
