cse-seminar-windprognose:Git Repository zum CSE大师研讨会1，技术大学-源码

[{"title":"（ 24 个子文件 12.62MB ） cse-seminar-windprognose:Git Repository zum CSE大师研讨会1，技术大学-源码","children":[{"title":"cse-seminar-windprognose-main","children":[{"title":"literatur","children":[{"title":"Liebermann_2021_A_Neural_Network_Based_Algorithm_for_Short_Term_Solar_Irradiation_Forecasts (5).md <span style='color:#111;'> 330B </span>","children":null,"spread":false},{"title":"vorlesungsskripte","children":[{"title":"050_Wind_SS17.pdf <span style='color:#111;'> 1.87MB </span>","children":null,"spread":false}],"spread":true},{"title":"Liebermann_2021_A_Neural_Network_Based_Algorithm_for_Short_Term_Solar_Irradiation_Forecasts (5).pdf <span style='color:#111;'> 1.73MB </span>","children":null,"spread":false},{"title":"Meng_2010_Modeling and Forecasting Hourly Wind Power.pdf <span style='color:#111;'> 870.83KB </span>","children":null,"spread":false},{"title":"Kreuzer_2020_Short-term_temperature_forecasts_using_a_convoluti.pdf <span style='color:#111;'> 1.75MB </span>","children":null,"spread":false},{"title":"Ranganayaki_2016_An Intelligent Ensemble Neural Network Model for Wind Speed Prediction.md <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"Orpia_2014_Time Series Analysis using Vector Auto Regressive (VAR) Model of Wind Speeds.pdf <span style='color:#111;'> 357.45KB </span>","children":null,"spread":false},{"title":"Ranganayaki_2016_An Intelligent Ensemble Neural Network Model for Wind Speed Prediction.pdf <span style='color:#111;'> 1.70MB </span>","children":null,"spread":false},{"title":"LandesministeriumBayern_2010_Bayerischer_Windatlas.pdf <span style='color:#111;'> 3.43MB </span>","children":null,"spread":false},{"title":"Meng_2010_Modeling and Forecasting Hourly Wind Power.md <span style='color:#111;'> 19B </span>","children":null,"spread":false},{"title":"Kreuzer_2020_Short-term_temperature_forecasts_using_a_convoluti.md <span style='color:#111;'> 164B </span>","children":null,"spread":false},{"title":"01_literature_review.pdf <span style='color:#111;'> 153.22KB </span>","children":null,"spread":false},{"title":"Orpia_2014_Time Series Analysis using Vector Auto Regressive (VAR) Model of Wind Speeds.md <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"0_websites.md <span style='color:#111;'> 435B </span>","children":null,"spread":false},{"title":"0_Aufgabenstellung_Neuronale Netze zur Windprognose (Schl乼er).pdf <span style='color:#111;'> 523.87KB </span>","children":null,"spread":false},{"title":"01_literature_review.md <span style='color:#111;'> 5.75KB </span>","children":null,"spread":false}],"spread":false},{"title":"dokumentation","children":[{"title":"images","children":[{"title":"windturbine.jpg <span style='color:#111;'> 1.72MB </span>","children":null,"spread":false},{"title":"windanlagen_deutschland.pdf <span style='color:#111;'> 31.35KB </span>","children":null,"spread":false},{"title":"0_testbild.png <span style='color:#111;'> 10.76KB </span>","children":null,"spread":false},{"title":"windraeder_schlueter.jpg <span style='color:#111;'> 97.08KB </span>","children":null,"spread":false}],"spread":true},{"title":"seminararbeit.tex <span style='color:#111;'> 14.09KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 965B </span>","children":null,"spread":false},{"title":"bib.bib <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 70B </span>","children":null,"spread":false}],"spread":true}],"spread":true}]