Sökning: "price settings"

Visar resultat 1 - 5 av 45 uppsatser innehållade orden price settings.

  1. 1. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks

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

    Författare :Henrique Costabile; [2023]
    Nyckelord :;

    Sammanfattning : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. LÄS MER

  3. 2. Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Författare :Juanli Hu; [2023]
    Nyckelord :copper price; Vector autoregressive model; XGBoost; Time series; Business and Economics;

    Sammanfattning : Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. LÄS MER

  4. 3. Assessing the affordability of biophilic designed apartments

    Master-uppsats, Högskolan i Gävle/Avdelningen för byggnadsteknik, energisystem och miljövetenskap

    Författare :Daniela Larsson; Dharshini Krishnaraj; [2023]
    Nyckelord :biophilic design; affordability; sustainable change; biophilic architecture; building architecture affordability; biophilic pattern score; housing affordability metrics;

    Sammanfattning : Over the last two decades, biophilic design and green architecture have been gaining moremomentum throughout the world, to combat climate change and promote sustainability.Biophilic design states that humans have an innate connection with nature, and thatconnection invokes human well-being, productivity, coexistence with nature, andbiodiversity. LÄS MER

  5. 4. Enhancing Neural Network Accuracy on Long-Tailed Datasets through Curriculum Learning and Data Sorting

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Daniel Barreira; [2023]
    Nyckelord :Machine Learning; Neural Network; CORAL-framework; Long-Tailed Data; Imbalance Metrics; Teacher-Student models; Curriculum Learning; Training Scheme; Maskininlärning; Neuralt Nätverk; CORAL-ramverk; Long-Tailed Data; Imbalance Metrics; Teacher-Student modeler; Curriculum Learning; Tränings- scheman;

    Sammanfattning : In this paper, a study is conducted to investigate the use of Curriculum Learning as an approach to address accuracy issues in a neural network caused by training on a Long-Tailed dataset. The thesis problem is presented by a Swedish e-commerce company. LÄS MER

  7. 5. 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