Sökning: "Trajectory Forecasting"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Trajectory Forecasting.

1. 1. Extracting Growth Expectations from Financial Markets: An Investigation into the Dividend Market Dynamics

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Författare :Gösta Lycke; [2023]
   Nyckelord :Dividend futures; GDP growth forecasting; Economic shocks; Market expectations; Financial market derivatives;

   Sammanfattning : Dividend futures, reflecting the economic surplus, can be used as a forecasting tool for dividend and GDP growth. Building on prior research, I broaden the scope of analysis by encompassing a range of countries and evaluate the impact of shocks such as a military conflict on dividend and GDP growth expectations. LÄS MER

3. 2. Empirical Data Based Predictive Warning System on an Automated Guided Vehicle

   Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

   Författare :Anton Blåberg; Gustav Lindahl; [2022]
   Nyckelord :AGV; Automated Guided Vehicles; Autonomous Mobile Robots; LiDAR; Warning Field; Warning System; Collision Avoidance; Braking System; Robotics; Autonomous Vehicles; Path Predictive; Position Forecasting; Speed Regulation; Decision Making; Protective Field; Protective System; Industry 4.0; AI; Självkörande truckar; Varningsfält; Varningssystem; Säkerhetsfält; Säkerhetssystem; Industri 4.0; Automatiskt inbromsning; Positionsprognos; Beslutsfattande;

   Sammanfattning : An Automated Guided Vehicle (AGV) must follow protective regulations to avoidcrashing into people when autonomously driving in industries. These safety norms require AGVs to enable protective fields, which perform hard braking when objects enter aspecific area in front of the vehicle. LÄS MER

4. 3. Exploring improvements of wind power forecasts using Convolutional Neural Networks and Time Series Analysis

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Jakob Nabialek; [2022]
   Nyckelord :wind power forecasting; convolutional neural networks; kalman filter; electricity market; day-ahead market; Mathematics and Statistics;

   Sammanfattning : Due to environmental considerations, volumes of renewable power production are rapidly growing, and its share of the energy pool is increasing. The inter- mittent nature of wind power, being one of the main renewable energy sources, is a challenge when generating production forecasts. LÄS MER

5. 4. Investigating differences in the decay of divorce-induced residential mobility across gender and urbanisation

   Master-uppsats, Malmö universitet/Fakulteten för kultur och samhälle (KS)

   Författare :Matthew Gareth Bevan; [2019]
   Nyckelord :Divorce; Effect; Gender; Residential Mobility; Time; Urbanisation;

   Sammanfattning : Divorce is a life course event that triggers deviant, negative residential moves that symbolises the antithesis of climbing the traditional housing ladder, and sets individuals on an altered housing trajectory, typically associated with long-term instability compared to married counterparts. Studies have revealed that long-term instability associated with divorce is commonly connected to an increased probability of moving out of owner occupation that is greater and persists longer for women than men. LÄS MER

7. 5. Gaussian Process Regression-based GPS Variance Estimation and Trajectory Forecasting

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Tekniska fakulteten

   Författare :Linus Kortesalmi; [2018]
   Nyckelord :Machine Learning; GPR; Gaussian Process; GP; Gaussian Process Regression; Variance Estimation; Trajectory; Trajectory Forecasting; Regression; Gaussiska Processer; Variansestimering; trajektoria; Statistik; Maskininlärning;

   Sammanfattning : Spatio-temporal data is a commonly used source of information. Using machine learning to analyse this kind of data can lead to many interesting and useful insights. In this thesis project, a novel public transportation spatio-temporal dataset is explored and analysed. LÄS MER