Essays about: "forecast weather"
Showing result 1 - 5 of 94 essays containing the words forecast weather.
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1. Forecasting Volatility of Electricity Intraday Log Returns with Generalized Autoregressive Score Models
University essay from Göteborgs universitet/Graduate SchoolAbstract : 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. READ MORE
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2. Multilingual Text Robots for Abstract Wikipedia – Using Grammatical Framework to generate multilingual articles on Swedish localities
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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. READ MORE
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3. Quality assessment of private weather station Netatmo
University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionenAbstract : 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. READ MORE
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4. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : 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. READ MORE
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5. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : 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. READ MORE