Sökning: "quantile regression forest"

Hittade 5 uppsatser innehållade orden quantile regression forest.

  1. 1. Predicting Short-term Absences of a Railway Crew using Historical Data

    Master-uppsats, KTH/Matematisk statistik

    Författare :Agnes Björnfot; Sandra Fjelkestam; [2023]
    Nyckelord :statistics; machine learning; absence prediction; random forest; XGBoost; quantile regression; statistik; maskininlärning; frånvaroprognoser; random forest; XGBoost; kvantilregression;

    Sammanfattning : Transportation via train is considered the most environmentally friendly way of traveling and is widely seen as the future of transportation. Canceled and delayed trains worsen customer satisfaction; thus, punctual trains are crucial for railway companies. LÄS MER

  3. 2. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Simon Althoff; [2023]
    Nyckelord :wind-speed; probabilistic; forecasts; forecasting; ensemble; post-processing; conformal prediction; conformal predictive systems; quantile regression forest; non-exchangeable; Mathematics and Statistics;

    Sammanfattning : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. LÄS MER

  4. 3. A Comparison of Statistical Methods to Generate Short-Term Probabilistic Forecasts for Wind Power Production Purposes in Iceland

    Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :Arnór Tumi Jóhannsson; [2022]
    Nyckelord :Wind power; Iceland; Atmospheric Boundary Layer; atmospheric stability; probabilistic forecasting; Machine Learning; Quantile Regression Forest; Vindkraft; Island; gränsskikt; atmosfärisk stabilitet; probabilistisk prognos; Machine Learning; Quantile Regression Forest;

    Sammanfattning : Accurate forecasts of wind speed and power production are of great value for wind power producers. In Southwest Iceland, wind power installations are being planned by various entities. LÄS MER

  5. 4. Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest

    Master-uppsats, Uppsala universitet/Tillämpad matematik och statistik

    Författare :Minna Castoe; [2020]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  7. 5. Adaptive detection of anomalies in the Saab Gripen fuel tanks using machine learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Carl Tysk; Jonathan Sundell; [2020]
    Nyckelord :Machine Learning; Anomaly detection; Prediction intervals; Signal processing;

    Sammanfattning : Gripen E, a fighter jet developed by Saab, has to fulfill a number of specifications and is therefore tested thoroughly. This project is about detecting anomalies in such tests and thereby improving the automation of the test data evaluation. LÄS MER