Format:
1 Online-Ressource (200 pages)
ISBN:
9783737603478
Content:
"Front Cover" -- "Title Page" -- "Imprint" -- "Abstract (English)" -- "Abstract (German)" -- "Content" -- "List of figures" -- "List of tables" -- "Abbreviations" -- "Acknowledgement" -- "1 Introduction and summary" -- "1.1 Development of offshore wind energy" -- "1.1.1 Offshore wind power in Europe" -- "1.1.2 Offshore wind power world wide" -- "1.1.3 Challenges of offshore wind energy" -- "1.2 Motivation, objectives, problem statement and focus" -- "1.2.1 Motivation" -- "1.2.2 Problem statement" -- "1.2.3 Purpose of the PhD work" -- "1.2.4 Publications" -- "1.2.5 Outline of the thesis and exhaustive summary" -- "2 State of the art in wind power forecasting" -- "2.1 Application of wind power forecasting in energy trade in Germany" -- "2.1.1 Persistence wind power forecasting" -- "2.1.2 Short term wind power forecasting" -- "2.1.3 Day-ahead wind power forecasting" -- "2.2 Energy meteorology and numerical weather predictions" -- "2.3 State of wind power forecasting methods and research" -- "2.3.1 State of offshore wind power forecasting" -- "2.3.2 Existing wind power forecasting methods" -- "2.4 Existing applications for wind power forecasting" -- "2.5 Summary" -- "3 Input data for development of forecasting models" -- "3.1 Available data" -- "3.2 Development of a plausibility check for meteorological parameters" -- "3.2.1 Correction of measurements from FINO1 meteorological mast" -- "3.2.2 Determination of wind sectors disturbed by the wind farm" -- "3.2.3 Validation of FINO1 wind speed measurements" -- "3.3 Plausibility of power data and detection of installed wind power" -- "3.4 Assessment of the accuracy of wind power forecasting" -- "3.5 Summary" -- "4 Development and implementation of models for wind power forecasting" -- "4.1 Development of a physical model based on power curve" -- "4.1.1 WAPPM - Wake Adjusted Physical Power Model
Content:
"4.1.2 Optimization of WAPPM with Model Output Statistics (MOS)" -- "4.1.3 Simulation of the wind power time series of alpha ventus" -- "4.2 Wind power forecasting using WAPPM" -- "4.2.1 Physical model without considering wake effects" -- "4.2.2 Physical model with consideration of wake effects" -- "4.2.3 Adapted physical model" -- "4.2.4 Physical model extended with model output statistics" -- "4.3 Artificial neural networks in wind power forecasting" -- "4.3.1 Application of artificial neural networks" -- "4.3.2 Variation of prediction error dependent on hidden neurons" -- "4.4 Development of ensemble wind power forecast models" -- "4.4.1 Ensemble physical wind power forecasting" -- "4.4.2 Simple averaging of the predictions of different forecasting methods" -- "4.4.3 Hybrid system 1 â WAPPM prediction as additional input to ANN" -- "4.4.4 Hybrid system 2 â Double ANN 1" -- "4.4.5 Hybrid system 3 â Double ANN 2" -- "4.5 Summary" -- "5 Consecutive selection of learning approach and physical model" -- "5.1 Weekly development of wind power forecasting error" -- "5.2 Analysis of WPF Quality based on periodical data" -- "5.2.1 Seasonal analysis of the wind power forecasting with ANN" -- "5.2.2 Variation of wind power prediction error with monthly data" -- "5.2.3 Variation of wind power prediction error with weekly data" -- "5.3 Summary" -- "6 Differences in offshore and onshore WPF depending on various influencing Parameters" -- "6.1 Basic Models" -- "6.2 Ensemble Models" -- "6.3 Application of SOM in wind power forecasting" -- "6.3.1 Determination of the classes with SOM" -- "6.3.2 Using SOM classes as additional input in day-ahead forecast" -- "6.3.3 Investigation of the forecast error based on SOM-Classes" -- "6.4 Integration of atmospheric stability in wind power prediction" -- "6.4.1 Gradient Richardson Number
Content:
"6.4.2 Atmospheric stability classes" -- "6.4.3 Gradient Richardson Number as additional input" -- "6.4.4 Error analysis of stability classes" -- "6.5 Summary" -- "7 Conclusions and Outlook" -- "References" -- "ANNEX
Additional Edition:
ISBN 9783737603461
Additional Edition:
Erscheint auch als Druck-Ausgabe Kurt, Melih Development of an Offshore Specific Wind Power Forecasting System Delopment of am Offshore Specific Wind Power Forecasting System Kassel : Kassel University Press GmbH,c2017 ISBN 9783737603461
Language:
English
URL:
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