1 |
Semi-parametric modelling of sun position dependent solar gain using B-splines in grey-box models Rasmussen C, Frolke L, Bacher P, Madsen H, Rode C Solar Energy, 195, 249, 2020 |
2 |
Towards the characterization of the heat loss coefficient via on-board monitoring: Physical interpretation of ARX model coefficients Senave M, Reynders G, Bacher P, Roels S, Verbeke S, Saelens D Energy and Buildings, 195, 180, 2019 |
3 |
A hybrid modelling method for improving estimates of the average energy-saving potential of a building stock Brogger M, Bacher P, Wittchen KB Energy and Buildings, 199, 287, 2019 |
4 |
Estimating the influence of rebound effects on the energy-saving potential in building stocks Brogger M, Bacher P, Madsen H, Wittchen KB Energy and Buildings, 181, 62, 2018 |
5 |
Stochastic model of wind-fuel cell for a semi-dispatchable power generation Alvarez-Mendoza F, Bacher P, Madsen H, Angeles-Camacho C Applied Energy, 193, 139, 2017 |
6 |
Online short-term forecast of greenhouse heat load using a weather forecast service Vogler-Finck PJC, Bacher P, Madsen H Applied Energy, 205, 1298, 2017 |
7 |
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 Roels S, Bacher P, Bauwens G, Castatino S, Jimenez MJ, Madsen H Energy and Buildings, 153, 179, 2017 |
8 |
Multi-site solar power forecasting using gradient boosted regression trees Persson C, Bacher P, Shiga T, Madsen H Solar Energy, 150, 423, 2017 |
9 |
Load forecasting of supermarket refrigeration Rasmussen LB, Bacher P, Madsen H, Nielsen HA, Heerup C, Green T Applied Energy, 163, 32, 2016 |
10 |
Non-parametric method for separating domestic hot water heating spikes and space heating Bacher P, de Saint-Aubain PA, Christiansen LE, Madsen H Energy and Buildings, 130, 107, 2016 |