Essays about: "price prediction."
Showing result 11 - 15 of 165 essays containing the words price prediction..
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11. Enhancing House Rental Price Prediction Models for the Swedish Market : Exploring External features, Prediction intervals and Uncertainty Management in Predicting House Rental Prices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Exakt förutsägelse av hyrespriserna för hus är ett avgörande problem i verkligheten fastighetsdomän, vilket underlättar informerat beslutsfattande för både hyresgäster och hyresvärdar. Denna studie presenterar en omfattande utforskning av olika maskininlärningstekniker som tillämpas på en mångsidig datauppsättning av husfunktioner, med det övergripande målet att avslöja den mest effektiva algoritmen för förutsäga hyrespriser. READ MORE
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12. A Gradient Boosting Tree Approach for Behavioural Credit Scoring
University essay from KTH/Matematisk statistikAbstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE
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13. A Regression Analysis of the Parameters Influencing the Share Price During the First Day After an IPO
University essay from KTH/Matematisk statistikAbstract : This study focuses on initial public offerings (IPOs), which are the process of making a company's shares available for public trading on a stock market. Despite global uncertainties in recent years, there has been a high demand for company listings in the market. READ MORE
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14. Model Predictive Control for Ground Source Heat Pumps : Reducing cost while maintaining comfort
University essay from Linköpings universitet/ReglerteknikAbstract : Today, the control of heat pumps aims to first and foremost maintain a comfortable indoor temperature. This is primarily done by deciding input power based on outside temperature. The cost of electricity, which can be rather volatile, is not taken into account. READ MORE
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15. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : 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. READ MORE