论文信息 - Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation - 字舞流文

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation

Markus Wagner | Frank Neumann | Tobias Friedrich | Ekaterina Vladislavleva | T. Friedrich | E. Vladislavleva | F. Neumann | Markus Wagner

[1] A. H. Murphy,et al. Time Series Models to Simulate and Forecast Wind Speed and Wind Power , 1984 .

[2] Una-May O'Reilly,et al. Genetic Programming II: Automatic Discovery of Reusable Programs. , 1994, Artificial Life.

[3] Ismael Sánchez,et al. Short-term prediction of wind energy production , 2006 .

[4] Terence Soule,et al. Genetic Programming Theory and Practice IV , 2007 .

[5] Mark Kotanchek,et al. Pursuing the Pareto Paradigm: Tournaments, Algorithm Variations and Ordinal Optimization , 2007 .

[6] Riccardo Poli,et al. A Field Guide to Genetic Programming , 2008 .

[7] René Jursa,et al. Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models , 2008 .

[8] A. Kusiak,et al. Short-Term Prediction of Wind Farm Power: A Data Mining Approach , 2009, IEEE Transactions on Energy Conversion.

[9] Hod Lipson,et al. Age-fitness pareto optimization , 2010, GECCO '10.

[10] Oliver Kramer,et al. Short-Term Wind Energy Forecasting Using Support Vector Regression , 2011, SOCO.

[11] Oliver Kramer,et al. Analysis of wind energy time series with kernel methods and neural networks , 2011, 2011 Seventh International Conference on Natural Computation.

[12] Aoife Foley,et al. Current methods and advances in forecasting of wind power generation , 2012 .