| 1 |
Comparative and performative investigation of various data-based and conventional theoretical methods for modelling heat pipe solar collectors
Shafieian A, Parastvand H, Khiadani M
Solar Energy, 198, 212, 2020 |
| 2 |
Operational thermal load forecasting in district heating networks using machine learning and expert advice
Geysen D, De Somer O, Johansson C, Brage J, Vanhoudt D
Energy and Buildings, 162, 144, 2018 |
| 3 |
Predicting Danish residential heating energy use from publicly available building characteristics
Kristensen MH, Brun A, Petersen S
Energy and Buildings, 173, 28, 2018 |
| 4 |
Real operation data analysis on district heating load patterns
Noussan M, Jarre M, Poggio A
Energy, 129, 70, 2017 |
| 5 |
Utilizing data center waste heat in district heating Impacts on energy efficiency and prospects for low-temperature district heating networks
Wahlroos M, Parssinen M, Manner J, Syri S
Energy, 140, 1228, 2017 |
| 6 |
Missing data estimation for 1-6 h gaps in energy use and weather data using different statistical methods
Claridge DE, Chen H
International Journal of Energy Research, 30(13), 1075, 2006 |
| 7 |
Efficiency gains in Danish district heating. Is there anything to learn from benchmarking?
Munksgaard J, Pade LL, Fristrup P
Energy Policy, 33(15), 1986, 2005 |
