A stochastic model for the optimal operation of a wind-thermal power system VS Pappala, I Erlich, K Rohrig, J Dobschinski IEEE transactions on Power Systems 24 (2), 940-950, 2009 | 447 | 2009 |
Methodologies to determine operating reserves due to increased wind power H Holttinen, M Milligan, E Ela, N Menemenlis, J Dobschinski, B Rawn, ... IEEE transactions on sustainable energy 3 (4), 713-723, 2012 | 393 | 2012 |
Wind power forecasting error distributions: An international comparison BM Hodge, D Lew, M Milligan, E Gómez-Lázaro, XG Larsén, G Giebel, ... 11th International Workshop on Large-Scale Integration of Wind Power into …, 2012 | 171 | 2012 |
Variability of load and net load in case of large scale distributed wind power H Holttinen, J Kiviluoma, A Estanqueiro, E Gómez-Lázaro, B Raw, ... 10th International Workshop on Large-scale Integration of Wind Power into …, 2011 | 63 | 2011 |
An empirical approach to parameterizing photovoltaic plants for power forecasting and simulation YM Saint-Drenan, S Bofinger, R Fritz, S Vogt, GH Good, J Dobschinski Solar Energy 120, 479-493, 2015 | 50 | 2015 |
The use of probabilistic forecasts: Applying them in theory and practice SE Haupt, MG Casado, M Davidson, J Dobschinski, P Du, M Lange, ... IEEE Power and Energy Magazine 17 (6), 46-57, 2019 | 47 | 2019 |
Uncertainty forecasting in a nutshell: Prediction models designed to prevent significant errors J Dobschinski, R Bessa, P Du, K Geisler, SE Haupt, M Lange, C Möhrlen, ... IEEE Power and Energy Magazine 15 (6), 40-49, 2017 | 40 | 2017 |
The potential of advanced shortest-term forecasts and dynamic prediction intervals for reducing the wind power induced reserve requirements J Dobschinski, E Pascalis, A Wessel, L Bremen, B Lange, K Rohrig, ... | 37 | 2010 |
Artificial neural network based wind power forecasting using a multi-model approach U Cali, B Lange, J Dobschinski, M Kurt, C Moehrlen, B Ernst Proceedings of the 7th International Workshop on Large-Scale Integration of …, 2008 | 35 | 2008 |
Analysis of variability and uncertainty in wind power forecasting: an international comparison J Zhang, BM Hodge, E Gomez-Lazaro, AL Lovholm, E Berge, J Miettinen, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2013 | 31 | 2013 |
Wind power plant capabilities–Operate wind farms like conventional power plants K Rohrig, B Lange, A Gesino, M Wolff, R Mackensen, J Dobschinski, ... European Wind Energy Conference 16 (19.03), 2009, 2009 | 29 | 2009 |
Transmission planning for wind energy in the United States and Europe: status and prospects JC Smith, D Osborn, R Zavadil, W Lasher, E Gómez‐Lázaro, ... Wiley Interdisciplinary Reviews: Energy and Environment 2 (1), 1-13, 2013 | 26 | 2013 |
Batterien als Energiespeicher: Beispiele, Strategien, Lösungen M Hagen, ER Weber, C Hoffmann, V Berkhout, D Callies, J Dobschinski, ... Beuth Verlag, 2015 | 22 | 2015 |
How good is my forecast? Comparability of wind power forecast errors J Dobschinski Proceedings of the 13th international workshop on large scale integration of …, 2014 | 18 | 2014 |
Estimation of wind power prediction intervals using stochastic methods and artificial intelligence model ensembles J Dobschinski, A Wessel, B Lange, K Rohrig, L Bremen, YM Saint-Drenan Proceedings of the German Wind Energy Conference DEWEK, Bremen (DE), 2008 | 18 | 2008 |
Design and operation of energy systems with large amounts of variable generation: Final summary report, IEA Wind TCP Task 25 H Holttinen, J Kiviluoma, N Helistö, T Levy, N Menemenlis, L Jun, ... VTT Technical Research Centre of Finland, 2021 | 14 | 2021 |
Prognosen der zeitlich-räumlichen Variabilität von Erneuerbaren B Lange, K Rohrig, J Dobschinski, A Wessel, Y Saint-Drenan, M Felder Transformationsforschung für ein nachhaltiges Energiesystem-Beiträge zur …, 2011 | 14 | 2011 |
Design and operation of power systems with large amounts of wind power: Final summary report, IEA WIND Task 25, Phase three 2012-2014 H Holttinen, J Kiviluoma, A Forcione, M Milligan, CJ Smith, J Dillon, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2016 | 13 | 2016 |
Wind power forecasting based on deep neural networks and transfer learning S Vogt, A Braun, J Dobschinski, B Sick 18th Wind Integration Workshop, 8, 2019 | 12 | 2019 |
Strategies for Continuous Balancing in Future Power Systems with High Wind and Solar Shares H Nordström, L Söder, D Flynn, J Matevosyan, J Kiviluoma, H Holttinen, ... Energies 16 (14), 5249, 2023 | 10 | 2023 |