Peder Bacher
Peder Bacher
Associate professor at DTU Compute
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Online short-term solar power forecasting
P Bacher, H Madsen, HA Nielsen
Solar energy 83 (10), 1772-1783, 2009
Identifying suitable models for the heat dynamics of buildings
P Bacher, H Madsen
Energy and buildings 43 (7), 1511-1522, 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
Short-term heat load forecasting for single family houses
P Bacher, H Madsen, HA Nielsen, B Perers
Energy and buildings 65, 101-112, 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 J°rgensen, ...
Energy Procedia 30, 270-278, 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
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
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
Estimating the influence of rebound effects on the energy-saving potential in building stocks
M Br°gger, P Bacher, H Madsen, KB Wittchen
Energy and Buildings 181, 62-74, 2018
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
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 Casta˝o, MJ JimÚnez, H Madsen
Energy and Buildings 153, 179-189, 2017
Setting up and validating a complex model for a simple homogeneous wall
I Naveros, P Bacher, DP Ruiz, MJ JimÚnez, H Madsen
Energy and Buildings 70, 303-317, 2014
A hybrid modelling method for improving estimates of the average energy-saving potential of a building stock
M Br°gger, P Bacher, KB Wittchen
Energy and Buildings 199, 287-296, 2019
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
Load forecasting of supermarket refrigeration
LB Rasmussen, P Bacher, H Madsen, HA Nielsen, C Heerup, T Green
Applied energy 163, 32-40, 2016
Benchmarking physics-informed machine learning-based short term PV-power forecasting tools
DV Pombo, P Bacher, C Ziras, HW Bindner, SV Spataru, PE S°rensen
Energy Reports 8, 6512-6520, 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
Short-term solar power forecasting
P Bacher
Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark, 2008
Modelling the heat dynamics of a monitored Test Reference Environment for Building Integrated Photovoltaic systems using stochastic differential equations
C Lodi, P Bacher, J Cipriano, H Madsen
Energy and Buildings 50, 273-281, 2012
Method for scalable and automatised thermal building performance documentation and screening
C Rasmussen, P Bacher, D Calý, HA Nielsen, H Madsen
Energies 13 (15), 3866, 2020
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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