Essays about: "svensson model"
Showing result 1 - 5 of 222 essays containing the words svensson model.
-
1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
-
2. Variation Management Strategies for Future Construction Sites: A study to address role of an equipment rental business in the energy transition
University essay fromAbstract : Construction sites are facing challenges with high power peaks due to electrificationof heavy equipment where potential consequences are increased power tariffs locallyand risk of limited power supply. Another development is an increased intermittentpower supply due to more wind- and solar power in the electricity system, whichcauses price fluctuations. READ MORE
-
3. Forecasting With Feature-Based Time Series Clustering
University essay from Jönköping University/Tekniska HögskolanAbstract : 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. READ MORE
-
4. How does Monetary Policy Affect the Inflation Rate? A Study of the Riksbank's Monetary Policy from 2000-2019
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : 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. READ MORE
-
5. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : 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. READ MORE
