Sökning: "Modeling of Prediction Errors"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Modeling of Prediction Errors.

  1. 1. Predicting Counter-Strike Matches using Machine Learning Models

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Erik Broms; William Nordansjö; [2024]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER

  3. 2. Model Predictive Control for Ground Source Heat Pumps : Reducing cost while maintaining comfort

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Isak Bokne; Charlie Elf; [2023]
    Nyckelord :MPC; Model Predictive Control; heat pump control; electricity spot price; weather prediction; reducing cost;

    Sammanfattning : Today, the control of heat pumps aims to first and foremost maintain a comfortable indoor temperature. This is primarily done by deciding input power based on outside temperature. The cost of electricity, which can be rather volatile, is not taken into account. LÄS MER

  4. 3. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications

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

    Författare :Jonas Cederberg; [2023]
    Nyckelord :Lumped Parameter Thermal Network; Resistance-Capacitance model; Parameter estimation; Modelling of Dynamical Systems; Thermal modelling; Temperature Prediction; Termiskt nätverk med klumpade parametrar; Mostånds-kapacitans modell; Parameterestimering; Modellering av dynamiska system; Termisk modellering; Temperaturprediktion.;

    Sammanfattning : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. LÄS MER

  5. 4. Modelling Large Protein Complexes

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Ho Yeung Chim; [2023]
    Nyckelord :Protein Modeling; Monte Carlo Tree Search; Protein Complex;

    Sammanfattning : AlphaFold [Jumper et al., 2021, Evans et al., 2022] is a deep learning-based method that can accurately predict the structure of single- and multiple-chain proteins. However, its accuracy decreases with an increasing number of chains, and GPU memory limits the size of protein complexes that can be predicted. LÄS MER

  7. 5. 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