Sökning: "Polynom Regression"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Polynom Regression.

  1. 1. Estimating the load weight of freight trains using machine learning

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

    Författare :Erik Kongpachith; [2023]
    Nyckelord :Railway freight Transport; Rail Vehicle Weighing; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Machine Learning; Regression; Polynomial Regression; Regression Trees; Random Forest Regression; Support Vector Regression; Järnvägsgods transport; Vägning av järnvägsfordon; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Maskininlärning; Regression; Polynom Regression; Regressionsträd; Random Forest Regression; Support Vector Regression;

    Sammanfattning : Accurate estimation of the load weight of freight trains is crucial for ensuring safe, efficient and sustainable rail freight transports. Traditional methods for estimating load weight often suffer from limitations in accuracy and efficiency. LÄS MER

  3. 2. 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

  4. 3. Estimating CO2 reductions from renewable energy sources : The impact of power system nonlinearities

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

    Författare :Kristoffer Berglund; [2022]
    Nyckelord :CO2 reduction; Dispatch model; Econometric model; Unit commitment; CO2-reduktion; ekonometriska modeller; produktionssimuleringsmodeller;

    Sammanfattning : Replacing conventional generation with renewable generation in power systems is essential for reducing CO2 emissions. It is important to know how effective renewables are in reducing CO2 emissions. Since CO2 reduction cannot be measured directly, different methods have been used to estimate reduction of CO2 emissions. LÄS MER

  5. 4. The Energy Efficiency Model of a DC Motor for the Control of HEVs

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

    Författare :JIACHENG CAI; [2020]
    Nyckelord :Efficiency map; DC motor; test bench; polynomial regression; K-means; Effektivetetskarta; likströmsmotorn; testbänk; polynomuttryck; K-betyder;

    Sammanfattning : This thesis studies a DC motor for a racing hybrid electric vehicle (HEV) prototype.The development of optimization-based energy management strategies (EMS) necessitates an accurate quasi-static model of the driving motor, which includes a 2D efficiency map with the torque outputand rotating speed as the inputs. LÄS MER

  7. 5. Mobile Network trafficprediction : Based on machine learning

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

    Författare :Loise Abrahamssson Kwetczer; Jakob Stigenberg; [2018]
    Nyckelord :;

    Sammanfattning : The investing market can be a cold ruthless placefor the layman. In order to get the chance of making money inthis business one must place countless hours on research, withmany different parameters to handle in order to reach success.To reduce the risk, one must look to many different companiesoperating in multiple fields and industries. LÄS MER