Sökning: "ensemble forecast"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden ensemble forecast.

1. 1. 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

3. 2. Evaluation of probabilistic forecasts in Uppsala and its potential use in winter road maintenance

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

   Författare :Elisabet Johansson; [2023]
   Nyckelord :forecast evaluation; ensemble system; MetCoOp; winter road maintenance; snow removal; utvärdering; ensembelprognos; MetCoOp; snöröjning; vinterväghållning;

   Sammanfattning : Efficient winter road maintenance is crucial for safety and societal function during the winter months in Sweden. This report aims to evaluate the MetCoOp ensemble system CMEPS and investigate its potential use as a basis for formulating criteria for snow removal that accounts for forecasted weather. LÄS MER

4. 3. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
   Nyckelord :Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

   Sammanfattning : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. LÄS MER

5. 4. 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

7. 5. Explainability of Machine Learning in Forecasts for Retail Sales Campaigns

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alexander Olsson; Robin Zamojsky; [2022]
   Nyckelord :;

   Sammanfattning : Explainable artificial intelligence is a growing field which is becoming increasingly important as machine learning is more integrated in businesses and various functions in society. A rising concern is the lack of transparency in decision-making processes for a substantial number of machine learning models. LÄS MER