- Tytuł:
- Neural modelling of electricity prices quoted on the Day-Ahead Market of TGE S.A. shaped by environmental and economic factors
- Autorzy:
- Ruciński, Dariusz
- Powiązania:
- https://bibliotekanauki.pl/articles/2052267.pdf
- Data publikacji:
- 2020
- Wydawca:
- Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
- Tematy:
-
Polish Power Exchange
day ahead market
DAM
artificial neural network
system modelling
MATLAB - Opis:
- The paper contains the results of research on the impact of the number of factors used to build the Day-Ahead Market model at Polish Power Exchange S.A. Five models with a different number of factors influencing the model were tested. To test the quality of models according to the adopted evaluation criteria, i.e., mean square error and the coefficient of determination for the weighted average prices sold in a given hour of the day, the influence of weather factors, socio-economic factors and energy demand were adopted. The results obtained from the analysis show a relatively high correctness of the simplest of the adopted models, which differs slightly from the best model.
- Źródło:
-
Studia Informatica : systems and information technology; 2020, 1-2(24); 25-35
1731-2264 - Pojawia się w:
- Studia Informatica : systems and information technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł