Sökning: "historical errors"

Visar resultat 1 - 5 av 65 uppsatser innehållade orden historical errors.

  1. 1. Can Machine Be a Good Stock Picker?: Bridging the Gap between Fundamental Data and Machine Learning

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Tomoya Narita; Povilas Stankevicius; [2023]
    Nyckelord :Machine Learning; XGBoost; Relative Valuation; Convergence Trade;

    Sammanfattning : We investigate the efficacy of historical accounting data and consensus forecasts for relative valuation of stocks, employing tree-based machine learning methods. We run an XGBoost model for monthly cross-sections of financial and pricing data of US equities from 1984 to 2021. LÄS MER

  3. 2. Predicting Short-term Absences of a Railway Crew using Historical Data

    Master-uppsats, KTH/Matematisk statistik

    Författare :Agnes Björnfot; Sandra Fjelkestam; [2023]
    Nyckelord :statistics; machine learning; absence prediction; random forest; XGBoost; quantile regression; statistik; maskininlärning; frånvaroprognoser; random forest; XGBoost; kvantilregression;

    Sammanfattning : Transportation via train is considered the most environmentally friendly way of traveling and is widely seen as the future of transportation. Canceled and delayed trains worsen customer satisfaction; thus, punctual trains are crucial for railway companies. LÄS MER

  4. 3. Price policy estimation for Demand Response of heat-pump-based loads

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

    Författare :Carlos Eduardo Gil Simancas; [2023]
    Nyckelord :Differential Evolution; Electricity Grids; Flexibility Services; Heat-pumps; Heterogeneous Loads; Implicit Demand Response; Optimization; Differentiell utveckling; elnät; flexibilitetstjänster; heterogena belastningar; implicit efterfrågesvar; optimering; värmepump;

    Sammanfattning : The electricity grids have become a key player in the society. An increased usage of electricity is both a result from the more electrified society, but also as a main solver in reaching the climate goals by reducing emissions. LÄS MER

  5. 4. Forecasting Visitors in Smart Building Environments : Modeling and estimation of the number of guests using SARIMAX

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Nour Alhuda Albashir; Hamoud Danial; [2023]
    Nyckelord :SARIMAX; People Counter; Time Series;

    Sammanfattning : Time series modeling is a commonly used approach in exchange for studying and analyzing the data to support decision-making in companies based on historical data and thereby help them to save costs. This work introduces a forecasting framework that utilizes a seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) model to forecast the number of people expected to enter a building within a short period. LÄS MER

  7. 5. Anomaly detection with machine learning methods at Forsmark

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Simon Sjögren; [2023]
    Nyckelord :machine learning; nuclear power; nuclear power plant; anomaly detection; anomaly; data processing; data-driven; autoencoder; maskininlärning; kärnkraft; kärnkraftverk; Forsmark; anomalidetektion; anomali; databehandling;

    Sammanfattning : Nuclear power plants are inherently complex systems. While the technology has been used to generate electrical power for many decades, process monitoring continuously evolves. There is always room for improvement in terms of maximizing the availability by reducing the risks of problems and errors. LÄS MER