Umspannwerk

Downloads

  • Infomaterial

  • Bücher

    • Physical Approach to Short-Term Wind Power Prediction (englisch)
      M. Lange, U. Focken: Physical Approach to Short-Term Wind Power Prediction, Springer Berlin Heidelberg New York, 2005, ISBN 3-540-25662-8
    • Physical Approach to Short-Term Wind Power Prediction (japanisch)
      M. Lange, U. Focken: Physical Approach to Short-Term Wind Power Prediction, Springer Berlin Heidelberg New York, 2005, ISBN 3-540-25662-8
  • Vorträge

    • Operationelle Erfahrungen mit kombinierten Solarleistungsvorhersagen für deutsche ÜNB und VNB
      Jan Schmelter M.Sc. und Dr. rer. nat. Ulrich Focken von energy & meteo systems GmbH für das 26. Symposium für Fotovoltaische Solarenergie in Bad Staffelstein von 2. bis 4. März 2011, Veranstalter: Ostbayerisches Technologie-Transfer-Institut e.V.
    • Kurz- bis mittelfristige Marktpotenziale für Demand Response-Anwendungen im gewerblichen Sektor
      M. Lange, U. Focken, J. Bümmerstede von energy & meteo systems in Zusammenarbeit mit Dr. Marian Klobasa vom Fraunhofer Institut für System- und Innovationsforschung, Vernetzungstagung des BMU in Berlin, 13. Oktober 2010
    • Wetter- und Leistungsvorhersagen für Windparks
      M. Lange, Wetter- und Leistungsvorhersagen für Windparks, WAB Vortragsforum, HUSUM WindEnergy, 23. September 2010
    • How to produce optimal wind power predictions – future challenges for ANEMOS.plus
      M. Lange: How to produce optimal wind power predictions – future challenges for ANEMOS.plus, Workshop on wind energy forecasting by Centre for Energy and Environmental Markets, University of New South Wales, Adelaide, 2006
    • Immediate Horizontal Wind Energy Exchange between TSOs in Germany since September 2004 - Practical Experiences
      B. Graeber, Cl. Krauss, M. Lange, U. Focken: Immediate Horizontal Wind Energy Exchange between TSOs in Germany since September 2004 - Practical Experiences, European Wind Energy Conf. EWEC, Athens, 2006
  • Ausgewählte Veröffentlichungen

    • Solar Forecasting
      Von Aidan Tuohy, John Zack, Sue Ellen Haupt, Justin Sharp, Mark Ahlstrom, Skip Dise, Eric Grimit, Corinna Möhrlen, Matthias Lange, Mayte Garcia Casado, Jon Black, Melinda Marquis und Craig Collier. Chicago, Oktober 2015
    • Variable Renewable Energy Forecasting – Integration into Electricity Grids and Markets – A Best Practice Guide.
      Malte Zieher, Dr. Matthias Lange, Dr. Ulrich Focken: vRE Discussion Series – Paper # 06. TECHNOLOGY. Variable Renewable Energy Forecasting – Integration into Electricity Grids and Markets – A Best Practice Guide. Technology cooperation in the energy sector. Herausgegeben von der Deutschen Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Eschborn, Juli 2015
    • Optimal Combination of Different Numerical Weather Models for Improved Wind Power Predictions
      M. Lange, U. Focken, R. Meyer, M. Denhardt, B. Ernst, F. Berster: Optimal Combination of Different Numerical Weather Models for Improved Wind Power Predictions, 6th International Workshop on Large-Scale Integration of Wind Power and Transmission Networks for Offshore Wind Farms, Delft, 2006
    • State-of-the-Art in Wind Power Prediction in Germany and International Developments
      M. Lange, U. Focken: Prediction of Wind Power and Reducing the Uncertainty for Grid Operators, Second Workshop of International Feed-In Cooperation, 15-16 Dec 2005, Berlin
    • Grid Integration of Wind Energy in Germany - Towards Managing 25 GW Offshore Wind Power
      U. Focken, M. Lange, B. Graeber: Grid Integration of Wind Energy in Germany - Towards Managing 25 GW Offshore Wind Power, Proceedings Fifth International Workshop on Large-Scale Integration of Wind Power and Transmission Networks for Offshore Wind Farms, Glasgow, 2005
    • Analysis of the Uncertainty of Wind Power Predictions
      M. Lange: Analysis of the Uncertainty of Wind Power Predictions, Dissertation, Oldenburg, 2003
    • On the Uncertainty of Wind Power Predictions, Proceedings of the EWEA Special Topic Conference
      M. Lange: On the Uncertainty of Wind Power Predictions, Proceedings of the EWEA Special Topic Conference: "The Science of Making Torque from Wind", Delft (2004)
    • Short-term prediction of the aggregated power output of wind farms
      Focken, U., Lange, M., Mönnich, K., Waldl, H.-P., Beyer, H.-G. and Luig, A.: Short-term prediction of the aggregated power output of wind farms - a statistical analysis of the reduction of the prediction error by spatial smoothing effects. Journal of Wind Engineering and Industrial Aerodynamics 90 (2002) 231-246.
    • Relating the uncertainty of short-term wind speed predictions to meteorological situations
      M. Lange and D. Heinemann: Relating the uncertainty of short-term wind speed predictions to meteorological situations with methods from synoptic climatology. Proceedings of the European Wind Energy Conference EWEC, Madrid (2003)
    • Previento - Regional Wind Power Prediction with Risk Control
      M. Lange, Focken, U. and D. Heinemann: Previento - Regional Wind Power Prediction with Risk Control. Proceedings of the World Wind Energy Conference, Berlin (2002).

english