Sökning: "price predictions"

Visar resultat 6 - 10 av 112 uppsatser innehållade orden price predictions.

  1. 6. Enhancing House Rental Price Prediction Models for the Swedish Market : Exploring External features, Prediction intervals and Uncertainty Management in Predicting House Rental Prices

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Vasigaran Senthilkumar; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  3. 7. A Gradient Boosting Tree Approach for Behavioural Credit Scoring

    Master-uppsats, KTH/Matematisk statistik

    Författare :Axel Dernsjö; Ebba Blom; [2023]
    Nyckelord :Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

    Sammanfattning : 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. LÄS MER

  4. 8. Flexible Sector Coupling (FSC) of Electrical and Thermal Sectors via Thermal Energy Storage (TES) : A Case Study on Oskarshamn Energi

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

    Författare :Raúl Calvo García; Jose María Marín Arcos; [2023]
    Nyckelord :Flexible sector coupling FSC ; district heating DH ; thermal energy storage TES ; heat pump HP ; capacity optimization; dispatch optimization; open-access tools; Flexibel sektorkoppling; fjärrvärme; termisk energilagring; värmepump; kapacitetsoptimering; leveransoptimering; verktyg med öppen tillgång;

    Sammanfattning : The integration of distributed energy sources and systems is of high relevance for the transition towards a more sustainable energy system. Taking into consideration the  amount of emissions produced by the heating sector, which account for at least half of the energy demand in buildings, district heating systems have the potential to play a key role in the transition, by enabling the integration of various energy sources and provide flexible energy services to the grid. LÄS MER

  5. 9. Risk Assessment of Digital Assets – Insurance Applications in Cryptocurrencies and NFTs

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Roberto Delgado Ferrezuelo; [2023]
    Nyckelord :Blockchain; NFTs; private key; phishing; floor price; rarity; cold wallet; hot wallet; risk premium; Technology and Engineering;

    Sammanfattning : The aim of the project is to develop a framework for an insurance policy for digital assets. The project comprised several stages, starting with the identification of risks associated with these assets. Policyholders were then categorized into two groups based on a predefined rating factor. LÄS MER

  7. 10. Interpretability and Accuracy in Electricity Price Forecasting : Analysing DNN and LEAR Models in the Nord Pool and EPEX-BE Markets

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Maria Margarida de Mendoça de Atayde P. de Mascarenhas; [2023]
    Nyckelord :Deep Neural Network DNN ; Lasso Estimated AutoRegressive LEAR ; Electricity Price Forecasting EPF ; Interpretability; EPEX-BE; Nord Pool.; Deep Neural Network DNN ; Lasso Estimate AutoRegressive LEAR ; elprisprognoser; tolkbarhet; EPEX-BE; Nord Pool.;

    Sammanfattning : Market prices in the liberalized European electricity system play a crucial role in promoting competition, ensuring grid stability, and maximizing profits for market participants. Accurate electricity price forecasting algorithms have, therefore, become increasingly important in this competitive market. LÄS MER