Analysis of data quoted on the Day-Ahead Market of TGE S.A. using Statistics and Machine Learning Toolbox

Authors

  • Jerzy Tchórzewski Siedlce University of Natural Sciences and Humanities
  • Bartłomiej Longota Siedlce University of Natural Sciences and Humanities

DOI:

https://doi.org/10.34739/si.2022.27.03

Keywords:

Artificial Neural Network, cluster analysis, Day-Ahead Market, k-means method, Matlab and Simulink environment, Statistics and Machine Learning Toolbox, Ward’s method

Abstract

The publication contains the results of research in the field of cluster analysis carried out using data quoted on the Day-Ahead Market of TGE S.A. Two methods were used in the analysis, one hierarchical known as the Ward’s method, and the other non-hierarchical - the k-means method. Many interesting research results have been obtained, which are illustrated, among others, in in the form of dendrograms, silhouette graphs and graphs in the form of clusters. Data on the volume and the volumeweighted average price of electricity were examined for various types of quotations: fixing 1, fixing 2 and continuous quotations. The research was carried out in the MATLAB and Simulink environments using a library called Machine and Statistics Learning Toolbox. Selected test results were interpreted.

Downloads

Download data is not yet available.

Downloads

Published

11.01.2023

Issue

Vol. 27 No. 2 (2022): Studia Informatica. Systems and Information Technology

Section

Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Tchórzewski, J., & Longota, B. (2023). Analysis of data quoted on the Day-Ahead Market of TGE S.A. using Statistics and Machine Learning Toolbox. Studia Informatica. System and Information Technology, 27(2), 49-74. https://doi.org/10.34739/si.2022.27.03