PhD Program System Integration of Renewable Energy

SEE Selected Publications

2015

 

• A. Alhamwi, D. Kleinhans, S. Weitemeyer, T. Vogt, Moroccan national energy strategy reviewed from a meteorological perspective, Energy Strategy Reviews, 2015

• M. Anvari, K. Lehnertz, M. Reza Rahimi Tabar, J. Peinke, Disentangling the stochastic behavior of epileptic brain dynamics, eingereicht

• M. Anvari, G. Lohmann, M. Reza Rahimi Tabar, M. Wächter, P. Milan, E. Lorenz, D. Heinemann, J. Peinke, Suppressing the non-Gaussian statistics of Renewable Power from Wind and Solar, in Vorbereitung

• M. Anvari, M. Reza Rahimi Tabar, M. Wächter, J. Peinke, Local Phase Synchronization in Wind Farm: The Origin of Intermittency, in Vorbereitung

• Büscher, Piech, Lehnhoff, Rohjans, Steinbrink, Velásquez, Andren, Strasser, Towards Smart Grid System Validation: Integrating the SmartEST and the SESA Laboratories, International Symposium on Industrial Electronics, 2015

• C. Böhringer, M. Bortolamedi, The No(n)-Sense of Energy Security Indikators, eingereicht bei Ecological Economics, 2015

• M. Bortolamedi, Accounting for hidden energy dependency: The impact of energy embodied in traded goods on cross-country energy security assessments, eingereicht bei Energy, 2015

• J. Heinermann, O. Kramer, On Heterogeneous Machine Learning Ensembles for Wind Power Prediction, AAAI Workshops, 2015

• J. Heinermann, O. Kramer, Machine Learning Ensembles for Wind Power Prediction, eingereicht beim Journal Renewable Energy, Elsevier, 2015

• J. Hirschfeld, C. von Möllendorff, Klimaökonomie braucht erweiterte Bewertungsmaßstäbe – Extremereignisse und Lebenszufriedenheit, Ökologisches Wirtschaften, Heft 01/2015, Oekom Verlag, Berlin, S. 23-25, 2015

• C. von Möllendorff, H. Welsch, Measuring Renewable Energy Externalities: Evidence from Subjective Well-Being Data, Oldenburg Discussion Papers in Economics, Volume 373 (14), 2014

• C. Jepping, J.-U. Schulz, T. Luhmann, Konzept zur Erfassung kinematischer Rotorblattverformungen an Windkraftanlagen, T. Luhmann, C. Müller (Hrsg.): Photogrammetrie, Laserscanning, Optische 3D-Messtechnik Beiträge der 14. Oldenburger 3DTage, Wichmann VDE Verlag, Berlin, 2015

• C. Junk, S. Späth, L. von Bremen, L. delle Monache, Comparison and combination of regional and global ensemble prediction systems for probabilistic predictions of hubheight wind speed, eingereicht bei Weather and Forecasting, 2015

• D. Kimmich, C. Dosche, G. Wittstock, Photoelectrochemical Screening of Water Splitting Catalysts, 17th Topical Meeting of the International Society of Electrochemistry, Saint Malo, Frankreich, 2015

• D. Kimmich, C. Dosche, G. Wittstock, Photoelectrochemical Screening of Water Splitting Catalysts, Bunsentagung 2015, Bochum, 2015

• D. Lückehe, M. Wagner, and O. Kramer, On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints, Genetic and Evolutionary Computation Conference, pp. 1223-1230, 2015.

• D. Lückehe, O. Kramer, Alternating Optimization of Unsupervised Regression with Evolutionary Embeddings, Applications of Evolutionary Computation (EvoApplications), S. 471-480, 2015 (Best Paper Award)

• A. Mehrens, Mesoscale wind Fluctuations over the North Sea, DEWEK 12th German Wind Energy Conference, Bremen, 2015

• J. Neugebauer, M. Sonnenschein, Impact of Data Preprocessing on the Hybrid Classification Model, in Vorbereitung

• J. Neugebauer, O. Kramer, M. Sonnenschein, Classification Cascades of Overlapping Feature Ensembles for Energy Time Series Data, eingereicht bei ECML/DARE, 2015

• S. Oehmcke, J. Heinermann, O. Kramer, Analysis of Diversity Methods for Evolutionary Multi-Objective Ensemble Classifiers, EvoStar, S. 567-578, 2015

• A. Ohsenbrügge, T. Klingenberg, S. Lehnhoff, Dynamic Data Driven Dimensioning of Balancing Power with k-nearest-Neighbors, PESS, Dortmund, 2015

• A. Ohsenbruegge, S. Lehnhoff, Dynamic Dimensioning of Balancing Power with Flexible Feature Selection, CIRED, Lyon, 2015

• A. Ohsenbruegge, S. Lehnhoff, Efficient Provision of Ancillary Services by decentralized, volatile generating Units, ETG, 2015

• J. Stubbemann, N. A. Treiber, O. Kramer, Resilient Propagation for Multivariate Wind Power Prediction, 4th International Conference on Pattern Recognition Applications and Methods, S. 333-337, 2015 • N. A. Treiber, O. Kramer, Evolutionary Feature Weighting for Wind Power Prediction with Nearest Neighbor Regression, Congress on Evolutionary Computation (CEC), 2015

• N. A. Treiber, S. Späth, J. Heinermann, L. von Bremen, O. Kramer, Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction, European Symposium on Artificial Neural Networks (ESANN), S. 71-76, 2015

• N. A. Treiber, J. Heinermann, O. Kramer, Wind Power Prediction with Machine Learning, J. Lässig, K. Kersting and K. Morik, (Hrsg.): Computational Sustainability, Springer, im Druck

• B. Wolff, E. Lorenz, O. Kramer, Statistical Learning for Short-Term Photovoltaic Power Predictions, Jörg Lässig, Kristian Kersting, Katharina Morik (Hrgs): Computational Sustainability, Springer, 2015

 

2014

 

• A. Alhamwi, D. Kleinhans, S. Weitemeyer, T. Vogt, Optimal mix of renewable power generation in the MENA region as a basis for an efficient electricity supply to Europe, EPJ Web of Conferences, 2014

• H.-J. Appelrath, G. Brunekreeft, A. Weidlich, C. Wissing. C. Mayer, A. Ohsenbrügge, S.-C. Schnabel, M. Tröschel, „Future Energy Markets“ Mehr Markt für eine effizientere Energiewende (acatech MATERIALIEN), München, 2014

• Büscher, Claassen, Kube, Lehnhoff, Piech, Rohjans, Scherfke, Steinbrink, Velásquez, Tempez, Bouzid, Integrated Smart Grid Simulations for Generic Automation Architectures with RT-LAB and mosaik, IEEE International Conference on Smart Grid Communications, 2014

• J. Heinermann, O. Kramer, Precise Wind Power Prediction with SVM Ensemble Regression, Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN), Lecture Notes in Computer Science, Springer, 2014

• C. Jepping, F. Bethmann, T. Luhmann, Congruence Analysis of Point Clouds from Unstable Stereo Image Sequences. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5, Commission V, Riva del Garda, Italy, S. 301-306, 2014

• C. Jepping, F. Bethmann, T. Luhmann, Kongruenzanalyse von Punktwolken aus instabilen Stereosequenzen. Gemeinsame Tagung 2014 der DGfK, der DGPF, der GfGI und des GiN, Hamburg, DGPF Tagungsband 23/2014, 2014

• C. Junk, L. von Bremen, M. Kühn, S. Späth, D. Heinemann, Comparison of Postprocessing Methods for the Calibration of 100-m Wind Ensemble Forecasts at Offand Onshore Sites, Journal of Applied Meteorology and Climatology, Vol. 53, S. 950-969, 2014

• D. Kimmich, C. Dosche, G. Wittstock, Photoelectrochemical Screening of Water Splitting Catalysts, Fachtagung: Electrochemistry 2014, Mainz, 2014

• O. Kramer, F. Gieseke, J. Heinermann, J. Poloczek, N. A. Treiber, A Framework for Data Mining in Wind Power Time Series, ECML Workshop DARE, 2014

• O. Kramer, F. Gieseke, J. Heinermann, J. Poloczek, N. A. Treiber, A Framework for Data Mining in Wind Power Time Series, 7th European Machine Learning and Data Mining Conference(ECML) DARE Workshop, 2014

• O. Kramer, N. A. Treiber, M. Sonnenschein, Wind Power Ramp Event Prediction with Support Vector Machines, International Conference on Hybrid Artificial Intelligence Systems (HAIS), S. 37-48, 2014

• G. Lohmann, M. Reza Rahimi Tabar, P. Milan, M. Anvari, M. Wächter, E. Lorenz, D. Heinemann, J. Peinke, Flickering Events in Wind and Solar Power, EnviroInfo 2014 ICT for Energy Efficiency, 723, Oldenburg, 2014

• D. Lückehe, O. Kramer, M. Weisensee, An Evolutionary Approach to Geo-Planning of Renewable Energies, International Conference on Informatics for Environmental Protection: ITC for Energy Efficiency (EnviroInfo), S. 501-508, 2014

• T. Luhmann, C. Jepping, B. Herd, Untersuchung zum messtechnischen Genauigkeitspotenzial einer Lichtfeldkamera. Gemeinsame Tagung 2014 der DGfK, der DGPF, der GfGI und des GiN, Hamburg, DGPF Tagungsband 23/2014, 2014

• A. Mehrens, The Relation between Spatial and Temporal Mesoscale Wind Fluctuations, European Meteorological Society, Annual Meeting, Prag, 2014

• N. Oehl, P. Michalowski, M. Knipper, J. Kolny-Olesiak, T. Plaggenborg, J. Parisi, Size Dependent Strain of Sn/SnOx Core/Shell Nanoparticles. J. Phys. Chem. C, 118, S. 30238–30243, 2014

• J. Poloczek, N. A. Treiber, O. Kramer, KNN Regression as Geo-Imputation Method for Spatio-Temporal Wind Data, 9th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO), S. 185-193, 2014

• M. Paschen, Dynamic Analysis of the German Day-Ahead Electricity Spot Market, eingereicht bei Energy Economics, August 2014

• Rohjans, Lehnhoff, Steinbrink, Velásquez, The Smart Energy Simulation and Automation Lab (SESA), 7th Real-Time International User Conference, 2014

• S. Späth, L. von Bremen,C. Junk, Ways to Obtain Reliable Wind Power Forecasts from Ensemble Weather Forecasts, Proceedings of the 13th Wind Integration Workshop, 2014

• S. Späth, L. von Bremen, C. Junk, D. Heinemann, Time-consistent calibration of shortterm regional wind power ensemble forecasts, Meteorologische Zeitschrift, 2014

• Steinbrink, Uncertainty Quantification in Smart Grid Co-Simulation across Heterogeneous Model Domains, 4th International Conference on Simulation and Modeling Methodologies (DCSIMULTECH), Technologies and Applications (Doctoral Consortium), 2014

• W. Schulte, W. Maier, G. Wittstock, Characterization of Gas Diffusion Electrodes using SECM, Fachtagung: Electrochemistry 2014, Mainz, 2014

• M. Reza Rahimi Tabar, M. Anvari, G. Lohmann, D. Heinemann, M. Wächter, P. Milan, E. Lorenz, J. Peinke, Kolmogorov spectrum of renewable wind and solar power fluctuations, Eur. Phys. J. Special Topics 223 (12), 26370, 2014

• N. A. Treiber, O. Kramer, Wind Power Prediction with Cross-Correlation Weighted Nearest Neighbors, 28th International and Interdisciplinary Conference Series on Leading Environmental IC Technologies (EnviroInfo), S.63-68, 2014

• N. A. Treiber, O. Kramer, Evolutionary Turbine Selection for Wind Power Predictions, 37th Edition of the German Conference on Artificial Intelligence (KI), S. 267-272, 2014

• M. Vali and M. Kühn, Distributed control of wind farms using a flow interaction model and a multi-agent approach, 10th PhD Seminar on Wind Energy in Europe, France, 2014.

• C. von Möllendorff, H. Welsch, Measuring Renewable Energy Externalities: Evidence from Subjective Well-Being Data, Oldenburg Discussion Papers in Economics, Volume 373 (14), 2014

• B. Wahl, DPG-Frühjahrstagung, Europe, Germany, Dresden, 2014

• S. Weitemeyer, D. Kleinhans, T.Vogt, C.Agert, Integration of renewable energy sources in future power systems: the role of storage, Renewable Energy, 2014

• S. Weitemeyer, D. Kleinhans, T. Vogt, C. Agert, Energy system modelling interactions and synergies in a highly renewable pan-European power system, EPJ Web of Conferences, 2014

 

2013

 

• O. Kramer, N. A. Treiber, F. Gieseke, Machine Learning in Wind Energy Information Systems, 27th International and Interdisciplinary Conference Series on Leading Environmental IC Technologies (EnviroInfo), S.16-24, 2013 

• A. Ohsenbrügge, Dynamic Strategies for Amount and Reliability of Control Reserve in Future Smart Grids, EnviroInfo, S. 230-236, 2013

• A. Ohsenbrügge, Energieinformatik Wien, Dynamische Regelund Reserveleistungsvorhaltung in dezentral koordinierten elektrischen Energieversorgungssystemen, Doktoranden-Workshop, 2013

• W. Schulte, G. Wittstock, Preparation of Catalyst Libraries for Alkaline Media, Workshop on Polymer Ion Exchange Membranes, Bad Zwischenahn, 2013

• W. Schulte, W. Maier, G. Wittstock, Preparation of Catalyst Libraries for Alkaline Media, Fachtagung ECHEMS, Lochow, Polen, 2013

• N. A. Treiber, J. Heinermann, O. Kramer, Aggregation of Features for Wind Energy Prediction with Support Vector Regression and Nearest Neighbors, 6th European Machine Learning and Data Mining Conference(ECML) DARE Workshop, 2013

• B. Wahl, EAWE 9th PhD Seminar on Wind Energy in Europe, Europe, Sweden, Visby, S. 18-20, 2013

• B. Wolff, E. Lorenz, O. Kramer, Statistical Learning for Short-Term Photovoltaic Power Predictions, ECML Workshop DARE, 2013