Essays about: "Random Forrest Regression"
Found 4 essays containing the words Random Forrest Regression.
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1. Understanding the Determinants of Car Ownership : A Regression and Neural Network Study
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : This thesis aims to understand the determinants of car ownership in the Swedish regions containing the largest cities: Skåne, Stockholm, and Västra Götaland. This is done by performing a fixed effects regression analysis as well as creating and comparing different predictive models. Both socioeconomic and spatial factors are looked at. READ MORE
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2. Exploring Machine Learning Techniques for Short-Term Wind Power Forecasting of Multiple Wind Parks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Wind power is a renewable energy source that is growing rapidly globally. A disadvantage of wind power is its uncertainty as the energy output can vary greatly, a consequence of the stochastic nature of the wind. Accurate forecasts of wind power production can mitigate the problem of uncertainty. READ MORE
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3. Case Study of Discharge Modeling for Nissan River in Halmstad Municipality
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : Changes in precipitation patterns, temperature, and other climatic variables have been shown to modify thehydrological cycle and hydrological systems, potentially resulting in a shift in river runoff behavior and an increasedrisk of floods. There have been several instances of devastating floods throughout Europe’s history, which haveresulted in devastation and enormous economic losses. READ MORE
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4. Linear and Non-linear Regression:Application to Competitor's Gasoline Volume Estimation
University essay from Lunds universitet/Matematisk statistikAbstract : This paper is dedicated to give a better estimation for competitor's gasoline volume on the behalf of Kalibrate Technologies and also nd a better way to improve business and sales performance. To achieve this goal, both linear regression model and non-linear regression model have been used. READ MORE
