| 1 |
A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings
Chaudhuri T, Soh YC, Li H, Xie L
Applied Energy, 248, 44, 2019 |
| 2 |
The effect of an indoor living wall system on humidity, mould spores and CO2-concentration
Tudiwer D, Korjenic A
Energy and Buildings, 146, 73, 2017 |
| 3 |
Energy consumption and indoor climate in a residential building before and after comprehensive energy retrofitting
Thomsen KE, Rose J, Morck O, Jensen SO, Ostergaard I, Knudsen HN, Bergsoe NC
Energy and Buildings, 123, 8, 2016 |
| 4 |
Detailed and simplified window model and opening effects on optimal window size and heating need
Thalfeldt M, Kurnitski J, Voll H
Energy and Buildings, 127, 242, 2016 |
| 5 |
Perceived and measured indoor climate conditions in high-performance residential buildings
Berge M, Mathisen HM
Energy and Buildings, 127, 1057, 2016 |
| 6 |
Information modelling process based on integrated data acquisition
Hirs J, Dermekova S, Wawerka R, Volarik T, Mohelnikova J
Energy and Buildings, 130, 122, 2016 |
| 7 |
Energy efficient climate control in office buildings without giving up implementability
Gruber M, Truschel A, Dalenback JO
Applied Energy, 154, 934, 2015 |
| 8 |
Energy conservation in museums using different setpoint strategies: A case study for a state-of-the-art museum using building simulations
Kramer RP, Maas MPE, Martens MHJ, van Schijndel AWM, Schellen HL
Applied Energy, 158, 446, 2015 |
| 9 |
The Temperierung heating systems as a retrofitting tool for the preventive conservation of historic museums buildings and exhibits
Bichlmair S, Raffler S, Kilian R
Energy and Buildings, 95, 80, 2015 |
| 10 |
Hygrothermal performance evaluation of traditional brick masonry in historic buildings
Litti G, Khoshdel S, Audenaert A, Braet J
Energy and Buildings, 105, 393, 2015 |
