Sökning: "Forecast error"

Visar resultat 11 - 15 av 196 uppsatser innehållade orden Forecast error.

1. 11. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market

   Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Författare :Daniel Arredondo; [2023]
   Nyckelord :Hybrid model; Volatility model; Machine learning model; Price spike prediction; Energy trading; Time series forecasting; Ancillary service market; Business and Economics;

   Sammanfattning : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. LÄS MER

3. 12. Predicting Incoming Hospital Patients Using Weather Data and Neural Networks

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Tofte Tjörneryd; [2023]
   Nyckelord :;

   Sammanfattning : Personnel shortages in hospitals are a problem, and one way to alleviate that is to make better use of the existing personnel. This thesis examines whether Intensive Care patient arrivals can accurately be forecast using machine learning models, as well as examining the usefulness of calendar and climate data for the task. LÄS MER

4. 13. Forecasting CO2 Emissions in Sweden with a Bayesian Neural Network

   Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Kayode Adebowale; Robin Uzel; [2023]
   Nyckelord :;

   Sammanfattning : Carbon dioxide (CO2) is the main constituent of greenhouse gases whose increasing concentrations creates a multitude of different environmental problems. Developing an effective predictive modell for forecasting CO2 is therefore of great importance for future policymakers. LÄS MER

5. 14. Utveckling av driftstöd för planering av fjärrkyla : En explorativ studie om utvecklingen av ett optimeringsbaserat driftplaneringsverktyg för fjärrkylanätet City i Linköping, Sverige

   Master-uppsats, Linköpings universitet/Energisystem

   Författare :Christian Haapanen; Louise Hedenskog; [2023]
   Nyckelord :District cooling; MILP; UC problem; Optimization; Operational plan; Smart energy systems; Fjärrkyla; MILP; UC problem; Optimering; Driftplanering; Smarta energisystem;

   Sammanfattning : The average global temperature is rising due to climate change. This leads to an increase in cooling demand along with higher usage of electricity to operate cooling processes. One way to decrease the electricity usage is to introduce absorption cooling which uses heat instead of electricity as its main source of power. LÄS MER

7. 15. Predictive Regression Model Evaluation : Evaluating Predictive Machine Learning Models to Reduce Food Waste in the Dairy Industry

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

   Författare :Alexander Carlsson; [2023]
   Nyckelord :Machine learning; Food loss; Food overproduction; Food waste forecast; Food waste prediction; Maskininlärning; Matsvinn; Svinn; Matsvinnsprognos;

   Sammanfattning : Food waste in the food industry is often a result from the complex nature of food production. Uncertainty is always present as yields vary and as there is a chain of consumer demand from stores to producers. Food waste is a waste of both natural and economic resources affecting both the planet and the producer. LÄS MER