| Online short-term solar power forecasting P Bacher, H Madsen, HA Nielsen Solar energy 83 (10), 1772-1783, 2009 | 965 | 2009 |
| Identifying suitable models for the heat dynamics of buildings P Bacher, H Madsen Energy and buildings 43 (7), 1511-1522, 2011 | 827 | 2011 |
| Multi-site solar power forecasting using gradient boosted regression trees C Persson, P Bacher, T Shiga, H Madsen Solar Energy 150, 423-436, 2017 | 398 | 2017 |
| Short-term heat load forecasting for single family houses P Bacher, H Madsen, HA Nielsen, B Perers Energy and buildings 65, 101-112, 2013 | 170 | 2013 |
| Model predictive control for a smart solar tank based on weather and consumption forecasts R Halvgaard, P Bacher, B Perers, E Andersen, S Furbo, JB Jørgensen, ... Energy Procedia 30, 270-278, 2012 | 87 | 2012 |
| Short-term forecasting of CO2 emission intensity in power grids by machine learning K Leerbeck, P Bacher, RG Junker, G Goranović, O Corradi, R Ebrahimy, ... Applied Energy 277, 115527, 2020 | 85 | 2020 |
| An improved dynamic test method for solar collectors W Kong, Z Wang, J Fan, P Bacher, B Perers, Z Chen, S Furbo Solar Energy 86 (6), 1838-1848, 2012 | 55 | 2012 |
| Estimating the influence of rebound effects on the energy-saving potential in building stocks M Brøgger, P Bacher, H Madsen, KB Wittchen Energy and Buildings 181, 62-74, 2018 | 48 | 2018 |
| Thermal performance characterization using time series data-iea ebc annex 58 guidelines H Madsen, P Bacher, G Bauwens, AH Deconinck, G Reynders, S Roels, ... Technical University of Denmark, 2015 | 48* | 2015 |
| Benchmarking physics-informed machine learning-based short term PV-power forecasting tools DV Pombo, P Bacher, C Ziras, HW Bindner, SV Spataru, PE Sørensen Energy Reports 8, 6512-6520, 2022 | 44 | 2022 |
| Non-linear grey-box modelling for heat dynamics of buildings CA Thilker, P Bacher, HG Bergsteinsson, RG Junker, D Cali, H Madsen Energy and Buildings 252, 111457, 2021 | 43 | 2021 |
| A hybrid modelling method for improving estimates of the average energy-saving potential of a building stock M Brøgger, P Bacher, KB Wittchen Energy and Buildings 199, 287-296, 2019 | 42 | 2019 |
| Setting up and validating a complex model for a simple homogeneous wall I Naveros, P Bacher, DP Ruiz, MJ Jiménez, H Madsen Energy and Buildings 70, 303-317, 2014 | 41 | 2014 |
| Grey-box modeling for system identification of household refrigerators: A step toward smart appliances GT Costanzo, F Sossan, M Marinelli, P Bacher, H Madsen 2013 4th International Youth Conference on Energy (IYCE), 1-5, 2013 | 41 | 2013 |
| Non-parametric method for separating domestic hot water heating spikes and space heating P Bacher, PA de Saint-Aubain, LE Christiansen, H Madsen Energy and Buildings 130, 107-112, 2016 | 40 | 2016 |
| On site characterisation of the overall heat loss coefficient: Comparison of different assessment methods by a blind validation exercise on a round robin test box S Roels, P Bacher, G Bauwens, S Castaño, MJ Jiménez, H Madsen Energy and Buildings 153, 179-189, 2017 | 39 | 2017 |
| Load forecasting of supermarket refrigeration LB Rasmussen, P Bacher, H Madsen, HA Nielsen, C Heerup, T Green Applied energy 163, 32-40, 2016 | 38 | 2016 |
| Increasing the accuracy of hourly multi-output solar power forecast with physics-informed machine learning DV Pombo, HW Bindner, SV Spataru, PE Sørensen, P Bacher Sensors 22 (3), 749, 2022 | 34 | 2022 |
| Recent developments in multivariate wind and solar power forecasting ML Sørensen, P Nystrup, MB Bjerregård, JK Møller, P Bacher, H Madsen Wiley Interdisciplinary Reviews: Energy and Environment 12 (2), e465, 2023 | 33 | 2023 |
| Semi-parametric modelling of sun position dependent solar gain using B-splines in grey-box models C Rasmussen, L Frölke, P Bacher, H Madsen, C Rode Solar Energy 195, 249-258, 2020 | 32 | 2020 |
Henrik MadsenProfessor, PhD, DTU Compute, Technical University of DenmarkEmail verificata su dtu.dk
