Sökning: "nowcasting"

Visar resultat 1 - 5 av 15 uppsatser innehållade ordet nowcasting.

  1. 1. NOWCASTING THE SWEDISH UNEMPLOYMENT RATE USING GOOGLE SEARCH DATA

    Magister-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Jacob Inganäs; [2023]
    Nyckelord :Google trends; unemployment; regARIMA; nowcast; forecast;

    Sammanfattning : In this thesis, the usefulness of search engine data to nowcast the unemployment rate of Sweden is evaluated. Four different indices from Google Trends based on keywords related  to unemployment are used in the analysis and six different regARIMA models are  estimated and evaluated. LÄS MER

  3. 2. Nowcasting U.S. inflation using mixed frequency real-time data

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Gustaf Lundgren; Nils Wicktor; [2023]
    Nyckelord :Inflation; Machine Learning; Nowcasting; MIDAS; Almon distributed lag models; Real-Time data; Random Forest; XGBoost; Mathematics and Statistics;

    Sammanfattning : Different models were developed with the aim of nowcasting inflation at a daily basis with high frequency variables, while using real-time data to avoid look ahead bias. Both popular machine learning models such as Random Forest and XGBoost, and more traditional models such as UMIDAS and Almon distributed lag models were used to make the nowcasts. LÄS MER

  4. 3. Molns inverkan på satellitdetektion av vegetationsbränder i Sverige

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

    Författare :Marcus Letalick; [2022]
    Nyckelord :clouds; satellite detection; VIIRS; active fires; forest fire; grass fire; FRP; NOAA-20; Suomi-NPP; JPSS; moln; satellitdetektion; VIIRS; skogsbrand; gräsbrand; vegetationsbrand; FRP; NOAA-20; Suomi-NPP; JPSS;

    Sammanfattning : Results are presented from the 2021 test run of active fire detection using the Visual Infrared Imaging Radiometer Suite (VIIRS) instrument, that is currently onboard the polar satellites Suomi-NPP and NOAA-20. The test is performed by the Swedish Civil Contingencies Agency and the Swedish Meteorological and Hydrological Institute, in cooperation with local fire departments in Sweden. LÄS MER

  5. 4. Precipitation Nowcasting using Deep Neural Networks

    Master-uppsats, KTH/Fysik

    Författare :Valter Fallenius; [2022]
    Nyckelord :Deep Neura Networks; Artificial Intelligence; Meteorology; Precipitationa Nowcasting; Djupa neurala nätverk; artificiell intelligens; nederbördsprognoser; meteorologi;

    Sammanfattning : Deep neural networks (DNNs) based on satellite and radar data have shown promising results for precipitation nowcasting, beating physical models and optical flow for time horizons up to 8 hours. “MetNet”, developed by Google AI, is a 225 million parameter DNN combining three different types of architectures that was trained on satellite and radar data over the United States. LÄS MER

  7. 5. Nowcasting the IRF Auroral Index with Recurrent Neural Networks

    Master-uppsats, Luleå tekniska universitet/Rymdteknik

    Författare :Per Danielsson; [2022]
    Nyckelord :Aurora borealis; aurora; neural networks; artificial intelligence; machine learning; recurrent;

    Sammanfattning : There is a long history in Kiruna of conducting research on the physics of the aurora borealis. There is also a long history of providing tourists with great opportunities to see the auroras. Planning such tourist activities can be challenging since the auroras are hard to predict. LÄS MER