Sökning: "lasso regression"

Visar resultat 11 - 15 av 78 uppsatser innehållade orden lasso regression.

  1. 11. Predicting misuse of subscription tranquilizers : A comparasion of regularized logistic regression, Adaptive Bossting and support vector machines

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Ida Norén; [2022]
    Nyckelord :Adaptive Boosting; Benzodiazepines; classification; lasso regularization; logistic regression; support vector machines;

    Sammanfattning : Tranquilizer misuse is a behavior associated with substance use disorder. As of now there is only one published article that includes a predictive model on misuse of subscription tranquilizers. LÄS MER

  3. 12. Prediction of Air Quality Index Using Supervised Machine Learning

    Kandidat-uppsats, Blekinge Tekniska Högskola

    Författare :Vamsi Sri Naga Manikanta Murukonda; Avan Chowdary Gogineni; [2022]
    Nyckelord :Air Quality Index; Air Quality Monitoring; Machine Learning; Regression;

    Sammanfattning : Background: Air pollution has become a serious environmental issue. It is responsible for hundreds of fatalities each year and it poses a serious threat to human health and environment. It leads to global warming, greenhouse effect and it also causes respiratory problems like asthma, lung cancer etc. LÄS MER

  4. 13. Regression Analysis of Swedens Power Consumption

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Victor Moloisel; Carl-Fredrik Lind; [2022]
    Nyckelord :Regression analysis;

    Sammanfattning : Energy Consumption is a topic of great interest, especially since a surge in prices in late 2021 has caused a considerable increase in discussion around the topic. Data from the Swedish Central Bureau of statistics (SCB) and the Swedish Meteorological Institute (SMHI) were provided for macroscopic regressors. LÄS MER

  5. 14. Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Thomas Pegoraro; Vincent Ball; [2022]
    Nyckelord :Machine Learning; VRE; LCOE; Hourly Profiles; Hourly Price Forward Curves HPFC ; Business and Economics;

    Sammanfattning : This paper investigates the best methods for modeling hourly profiles in the German energy market for the period between 2018 and 2022. Modeling emphasized variable renewable energy (VRE) and included information on the level of energy production, oil price, COVID lockdowns, and historic hourly energy spot prices. LÄS MER

  7. 15. PV self-consumption: Regression models and data visualization

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Martos Tóth; [2022]
    Nyckelord :Self-Consumption; photovoltaics; battery; machine learning; solar energy; random forest; k-nearest neighbor; multi-layer perceptron; lasso regression; ridge regression; linear regression; Egenanvändning; photovoltaics; batteri; maskininlärning; solenergi; random forest; k-nearest neighbors; multi-layer perceptron; lasso regression; ridge regression; linjär regression;

    Sammanfattning : 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. LÄS MER