Sökning: "time series data"
Visar resultat 21 - 25 av 1411 uppsatser innehållade orden time series data.
21. Big Data and Analytics with Driving Data : Implementation and Analysis of Data Pipeline and Data Processing Resources
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This thesis project was conducted in cooperation with Zenseact for the purpose of investigating the possible usage of Google BigQuery and its capabilities to store and provide insights of large time-series data. An end-to-end data pipeline was built to facilitate the movement of data from Zenseact's local servers and ingestion into BigQuery. LÄS MER
22. Forecasting With Feature-Based Time Series Clustering
Master-uppsats, Jönköping University/Tekniska HögskolanSammanfattning : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. LÄS MER
23. How does Monetary Policy Affect the Inflation Rate? A Study of the Riksbank's Monetary Policy from 2000-2019
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This thesis examines how the Riksbank’s monetary policy has affected the Swedish CPI inflation rate from 2000 to 2019. This thesis aims to determine if monetary policy is effective at controlling inflation. There is an emphasis on exploring the differences between conventional and unconventional monetary policy. LÄS MER
24. Hosting Capacity Methods Considering Complementarity between Solar and Wind Power : A Case Study on a Swedish Regional Grid
Master-uppsats, Linköpings universitet/EnergisystemSammanfattning : The demand for electrical power is growing due to factors such as population growth, urbanisation, and the transition from fossil fuels to renewable energy sources. To be able to keep up with the changes in electricity demand, the Swedish power grid must connect more renewable power generation, but also increase its transmission capacity. LÄS MER
25. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER