| A building clustering approach for urban energy simulations I De Jaeger, G Reynders, C Callebaut, D Saelens Energy and buildings 208, 109671, 2020 | 66 | 2020 |
| Impact of building geometry description within district energy simulations I De Jaeger, G Reynders, Y Ma, D Saelens Energy 158, 1060-1069, 2018 | 46 | 2018 |
| A probabilistic building characterization method for district energy simulations I De Jaeger, J Lago, D Saelens Energy and buildings 230, 110566, 2021 | 32 | 2021 |
| Towards a DESTEST: A district energy simulation test developed in IBPSA project 1 D Saelens, I De Jaeger, F Bünning, M Mans, A Vandermeulen, ... Proceedings of Building Simulation 2019: 16th Conference of IBPSA, 3569-3577, 2019 | 19 | 2019 |
| Impact of spatial accuracy on district energy simulations I De Jaeger, G Reynders, D Saelens Energy Procedia 132, 561-566, 2017 | 17 | 2017 |
| Analysis of building parameter uncertainty in district heating for optimal control of network flexibility A Vandermeulen, I De Jaeger, T Van Oevelen, D Saelens, L Helsen Energies 13 (23), 6220, 2020 | 12 | 2020 |
| A probabilistic approach to allocate building parameters within district energy simulations I De Jaeger, J Lago, D Saelens Proceedings of the urban energy simulation conference, 2018 | 9 | 2018 |
| On the impact of input data uncertainty on the reliability of urban building energy models I De Jaeger | 8 | 2021 |
| Evaluating energy and flexibility performance of building clusters I Vigna, I De Jaeger, D Saelens, M Lovati, R Lollini, R Pernetti Building Simulation 2019 16, 3326-3333, 2019 | 8 | 2019 |
| Quantifying uncertainty propagation for the district energy demand using realistic variations on input data I De Jaeger, G Reynders, D Saelens Building Simulation 2019 16, 3636-3644, 2019 | 8 | 2019 |
| The trade-off between urban building stock retrofit, local renewable energy production and the roll-out of 4G district heating networks H Vandevyvere, G Reynders, R Baeten, I De Jaeger, Y Ma Case Study Modelling for 9, 2019 | 7 | 2019 |
| Evaluating different metrics for inter-model comparison of urban-scale building energy simulation time series H Johra, M Mans, K Filonenko, I De Jaeger, D Saelens, T Tvedebrink IBPSA Building Simulation 2021, 1556-1563, 2021 | 6 | 2021 |
| Aggregating set-point temperature profiles for archetype-based: simulations of the space heat demand within residential districts I De Jaeger, A Vandermeulen, B van der Heijde, L Helsen, D Saelens Journal of Building Performance Simulation 13 (3), 285-300, 2020 | 6 | 2020 |
| A probabilistic approach to include the overall efficiency of gas-fired heating systems in urban building energy modelling K Ritosa, I De Jaeger, D Saelens, S Roels Journal of Physics: Conference Series 2069 (1), 012105, 2021 | 3 | 2021 |
| Data-driven estimation of parametric uncertainty of reduced order RC models for building climate control A Uytterhoeven, I De Jaeger, K Bruninx, D Saelens, L Helsen Building Simulation 2021 17, 653-660, 2021 | 3 | 2021 |
| Evaluating data-driven building stock heat demand forecasting models for energy optimization T Jafarinejad, I De Jaeger, A Erfani, D Saelens Building Simulation 2021 17, 310-317, 2021 | 2 | 2021 |
| IBPSA Project 1: Update on Task 3-DESTEST and Application D Saelens, A Maccarini, I De Jaeger | | 2020 |
| Estimating Window Dimensions of Residential Buildings in District Energy Models (C012) I De Jaeger, Y Ma, D Saelens 2018 Building Performance Analysis Conference and SimBuild, 2018 | | 2018 |
| Estimating window dimensions of residential buildings in district energy models I De Jaeger, Y Ma, D Saelens Proceedings of the 2018 Building Performance Analysis Conference and SimBuild, 2018 | | 2018 |
