Sökning: "Numerical Weather Prediction model"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden Numerical Weather Prediction model.

1. 1. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Emelie Sjökvist; [2023]
   Nyckelord :;

   Sammanfattning : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. LÄS MER

3. 2. Data Assimilation for Systems with Multiple Timescales

   Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

   Författare :Dan Vicente Ihanus; [2023]
   Nyckelord :Mathematics; Partial Differential Equations; Numerical analysis; Data assimilation; Numerical weather prediction; Ensemble Kalman Filter;

   Sammanfattning : This text provides an overview of problems in the field of data assimilation. We explore the possibility of recreating unknown data by continuously inserting known data into certain dynamical systems, under certain regularity assumptions. LÄS MER

4. 3. 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

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. ASSESMENT OF WIND POWER FORECASTING ERROR FOR GOTLAND

   Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

   Författare :Simon Rengmyr; [2022]
   Nyckelord :Wind power forecasting; Machine learning; Numerical weather prediction;

   Sammanfattning : When the wind blows and wind turbine generators harvests the kinetic energy and trans- forms it to electrical power, there is a need for predicting how much power that will be dispatched from the turbines. Even the most perfect computer model with high computa- tional power could not model the beauty of the forces of nature and we must accept some degree of forecasting error in the predicted power output due to the inherently stochastic patterns in the atmosphere. LÄS MER