Essays about: "Prognostisering"
Showing result 1 - 5 of 75 essays containing the word Prognostisering.
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1. Utilizing logistic regression to apply the ELO system in forecasting Premier League odds
University essay from KTH/Matematisk statistikAbstract : This thesis provides insights into the creation of a model for predicting odds in the Premier League. It illustrates how the ELO system and historical odds, in combination with Monte Carlo simulations, can be implemented through logistic regression to predict odds in an unbiased way. READ MORE
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2. Enhancing Long-Term Human Motion Forecasting using Quantization-based Modelling. : Integrating Attention and Correlation for 3D Motion Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis focuses on addressing the limitations of existing human motion prediction models by extending the prediction horizon to very long-term forecasts. The objective is to develop a model that achieves one of the best stable prediction horizons in the field, providing accurate predictions without significant error increase over time. READ MORE
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3. Credit Index Forecasting: Stability of an Autoregressive Model
University essay from KTH/Matematik (Avd.)Abstract : This thesis investigates the robustness and stability of total return series for credit bond index investments. Dueto the challenges which arise for financial institutes and investors in achieving these objectives, we aim to createa forecasting model which matches the statistical properties of historical data, while remaining robust, stable andeasy to calibrate. READ MORE
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4. Improvement of a longterm energy demand forecasting model on a European scale, from data collection to modelling
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Energy demand forecasting has been more vital in recent years with countries setting goals to become climate neutral by 2050. Indeed, energy demand forecasting allows the understanding of drivers of the energy demand in all sectors of the economy. It also allows the planning of transformation of the future energy system. READ MORE
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5. Evaluating machine learning models for time series forecasting in smart buildings
University essay from KTH/Hälsoinformatik och logistikAbstract : Temperature regulation in buildings can be tricky and expensive. A common problem when heating buildings is that an unnecessary amount of energy is supplied. This waste of energy is often caused by a faulty regulation system. READ MORE