Sökning: "weather forecast"

Visar resultat 1 - 5 av 113 uppsatser innehållade orden weather forecast.

  1. 1. Forecasting Volatility of Electricity Intraday Log Returns with Generalized Autoregressive Score Models

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Gustav Veres; Philip Ahlfridh; [2023-06-29]
    Nyckelord :;

    Sammanfattning : We forecast volatility of electricity intraday log returns with Generalized Autoregressive Score (GAS) models. We extend our GAS models with variables representing the difference between the public’s expectation of weather and energy load and the actual outcome using a restricted ARMA(4,4) model. LÄS MER

  3. 2. Multilingual Text Robots for Abstract Wikipedia – Using Grammatical Framework to generate multilingual articles on Swedish localities

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Omar Diriye; Filip Folkesson; Erik NIlsson; Felix NIlsson; William NIlsson; Dylan Osolian; [2023-03-03]
    Nyckelord :Text robot; Natural Language Generation; Grammatical Framework; Multilingual Natural Language Generation; Abstract Wikipedia; Wikidata;

    Sammanfattning : The vast amount of Wikipedia articles and languages has resulted in a high cost of Wikipedia, i.e. the required time and dedication for making every article available in every language. LÄS MER

  4. 3. Quality assessment of private weather station Netatmo

    Kandidat-uppsats, Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionen

    Författare :Viktor Israelsson; [2023]
    Nyckelord :netatmo; meteorology; smhi; weatherstation; Physics and Astronomy;

    Sammanfattning : Netatmo is a brand of private weather stations that over the past decade, in many countries, have grown to outnumber the number of government based weather stations. In most fields of research, a high number of data points can increase accuracy and precision. LÄS MER

  5. 4. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Adam Ahlman; Adam Taylor; [2023]
    Nyckelord :Time Series; Forecasting;

    Sammanfattning : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. LÄS MER

  7. 5. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing

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

    Författare :August Thomasson; [2023]
    Nyckelord :visibility forecast; fog; machine learning; numerical weather predicition; XGBoost; Random Forest; siktprognos; dimma; maskininlärning; numerisk vädermodell; XGBoost; Random Forest;

    Sammanfattning : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. LÄS MER