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This paper describes the probabilistic wind power forecasting method that was used to win the wind track of the Global Energy Forecasting Competition 2014 (GEFCom2014). Executing a consistent machine learning framework for fitting independent models for each wind zone and quantile allowed us to automate our process for the duration of the competition. We used gradient boosted machines (GBM) for multiple...