Sven Killinger
Sven Killinger
Fraunhofer-Institute for Solar Energy Systems ISE, Karlsruhe Institute of Technology (KIT)
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Assessment of rooftop photovoltaic potentials at the urban level using publicly available geodata and image recognition techniques
K Mainzer, S Killinger, R McKenna, W Fichtner
Solar Energy 155, 561-573, 2017
Accurately measuring PV soiling losses with soiling station employing module power measurements
M Gostein, T Düster, C Thuman
2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC), 1-4, 2015
QCPV: A quality control algorithm for distributed photovoltaic array power output
S Killinger, N Engerer, B Müller
Solar Energy 143, 120-131, 2017
Improved satellite-derived PV power nowcasting using real-time power data from reference PV systems
JM Bright, S Killinger, D Lingfors, NA Engerer
Solar Energy 168, 118-139, 2018
A regional optimisation of renewable energy supply from wind and photovoltaics with respect to three key energy-political objectives
S Killinger, K Mainzer, R McKenna, N Kreifels, W Fichtner
Energy 84, 563-574, 2015
Comparing the capability of low-and high-resolution LiDAR data with application to solar resource assessment, roof type classification and shading analysis
D Lingfors, JM Bright, NA Engerer, J Ahlberg, S Killinger, J Widén
Applied Energy 205, 1216-1230, 2017
Projection of power generation between differently-oriented PV systems
S Killinger, F Braam, B Müller, B Wille-Haussmann, R McKenna
Solar Energy 136, 153-165, 2016
On the search for representative characteristics of PV systems: Data collection and analysis of PV system azimuth, tilt, capacity, yield and shading
S Killinger, D Lingfors, YM Saint-Drenan, P Moraitis, W van Sark, J Taylor, ...
Solar Energy 173, 1087-1106, 2018
Verification of deterministic solar forecasts
D Yang, S Alessandrini, J Antonanzas, F Antonanzas-Torres, V Badescu, ...
Solar Energy 210, 20-37, 2020
Identification of PV system shading using a LiDAR-based solar resource assessment model: An evaluation and cross-validation
D Lingfors, S Killinger, NA Engerer, J Widén, JM Bright
Solar Energy 159, 157-172, 2018
A tuning routine to correct systematic influences in reference PV systems’ power outputs
S Killinger, JM Bright, D Lingfors, NA Engerer
Solar Energy 157, 1082-1094, 2017
Himawari-8 enabled real-time distributed PV simulations for distribution networks
NA Engerer, JM Bright, S Killinger
2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 1405-1410, 2017
Comparison of the future residual load in fifteen countries and requirements to grid-supportive building operation
K Klein, S Killinger, D Fischer, C Streuling, J Salom, E Cubi
Eurosun 2016, 11-14, 2016
Upscaling PV power considering module orientations
S Killinger, P Guthke, A Semmig, B Müller, B Wille-Haussmann, ...
IEEE Journal of Photovoltaics 7 (3), 941-944, 2017
Selected approaches to integration management for renewable energies
R McKenna, T Heffels, E Merkel, D Fehrenbach, S Killinger, W Fichtner
uwf UmweltWirtschaftsForum 21 (3-4), 199-207, 2013
An analytical approach for estimating the global horizontal from the global tilted irradiance
S Halilovic, JM Bright, W Herzberg, S Killinger
Solar Energy 188, 1042-1053, 2019
Data article: Distributed PV power data for three cities in Australia
JM Bright, S Killinger, NA Engerer
Journal of Renewable and Sustainable Energy 11 (3), 035504, 2019
Uncertainty and error analysis of calculation procedures for PV self-consumption and its significance to investment decisions
N Kreifels, S Killinger, D Fischer, B Wille-Haussmann
2016 13th international conference on the European Energy Market (EEM), 1-5, 2016
Rooftop PV potential estimations: Automated orthographic satellite image recognition based on publicly available data
K Mainzer, D Schlund, S Killinger, R McKenna, W Fichtner
Proceedings of European PV Solar Energy Conference and Exhibition (EU PVSEC), 2016
Bayesian parameterisation of a regional photovoltaic model–Application to forecasting
YM Saint-Drenan, S Vogt, S Killinger, JM Bright, R Fritz, R Potthast
Solar Energy 188, 760-774, 2019
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