An icing forecast for wind power plants - A logistic regression in Julia

Tobias Hofer

An icing forecast for wind power plants - A logistic regression in Julia

Tobias Hofer

Research output: Types of Theses › Master's Thesis / Diploma Thesis

Original language	English
Publication status	Published - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Windenergie
wind energy
Windkraftanlagen
wind power plants
Vorhersage
forecast
Julia
Logistic regression
logistische regression

Cite this

@mastersthesis{aa401e1e10d74f1e82d1d07f030363bf,

title = "An icing forecast for wind power plants - A logistic regression in Julia",

keywords = "Windenergie, wind energy, Windkraftanlagen, wind power plants, Vorhersage, forecast, Julia, Logistic regression, logistische regression, Windenergie, wind energy, Windkraftanlagen, wind power plants, Vorhersage, forecast, Julia, Logistic regression, logistische regression",

author = "Tobias Hofer",

year = "2018",

language = "English",

}

TY - THES

T1 - An icing forecast for wind power plants - A logistic regression in Julia

AU - Hofer, Tobias

PY - 2018

Y1 - 2018

KW - Windenergie

KW - wind energy

KW - Windkraftanlagen

KW - wind power plants

KW - Vorhersage

KW - forecast

KW - Julia

KW - Logistic regression

KW - logistische regression