Essays about: "LASSO"
Showing result 21 - 25 of 100 essays containing the word LASSO.
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21. PV self-consumption: Regression models and data visualization
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In Sweden the installed capacity of the residential PV systems is increasing every year. The lack of feed-in-tariff-scheme makes the techno-economic optimization of the PV systems mainly based on the self-consumption. The calculation of this parameter involves hourly building loads and hourly PV generation. READ MORE
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22. 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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23. Predictions of Electricity Prices in Different Time Periods With Lasso
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : When the big data time comes, people also need to keep pace with the times to seek and develop tools that can deal with the vast amount of information. In this project, lassois applied to build parametric models of electricity prices based on different affecting factors. READ MORE
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24. Genome-wide association studies using machine learning
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Genom-Wide Association Study (GWAS) is a field that studies the genomics of organisms. GWAS focuses on what is called single nucleotide polymorphisms (SNP). In GWAS,the data of the SNPs is usually massive, which requires modern statistical analysis methods to investigate the relationship between those SNPs and a phenotype. READ MORE
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25. Stacking Ensemble Classification applied to US flight delay prediction during the COVID-19 pandemic
University essay from Uppsala universitet/Statistiska institutionenAbstract : This thesis aims to show that a Stacking Ensemble of multiple base-learners can provide a more accurate prediction of commercial flight delays between the ten largest US airports than the individual prediction models. Three types of machine learning models, namely LASSO, Random Forests and Neural Networks are used as base-learners with different hyper- parameters. READ MORE