Martin Matejko

Martin Matejko


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
2 February 2026 in Electricity
Verified
Journal Article
Open access
PDF file
MMMartin Matejko
Martin Matejko
PBPeter Bracinik
Peter Bracinik
A wide range of factors affect the dynamic and complex environment that is the commodity market. The most significant of these are external drivers, such as political decisions and weather conditions, which cannot be directly controlled. Nevertheless, specific characteristics and price behaviors are exhibited by individual commodities, which manifest through seasonal patterns and characteristic fluctuations. This study aimed to analyze the day-ahead electricity market and identify the key factors shaping electricity price formation. Particular focus was given to the role of meteorological variables and the interrelationships between the prices of other commodities, such as natural gas, coal, and oil. The analysis combined empirical techniques, such as Fourier transform and correlation analysis, with a predictive LSTM model using a Seq2Seq architecture to forecast short-term electricity prices. A basic forecast of electricity prices in the day-ahead market was provided by a simple predictive model that was developed based on the findings. The results highlight the interconnectedness of energy markets and confirm that external factors play a crucial role in shaping electricity prices.


29 December 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
MMMartin Matejko
Martin Matejko
PBPeter Bracinik
Peter Bracinik
A wide range of factors influences the dynamic and complex environment that is the commodity market. The most significant of these are external influences, such as political decisions and weather conditions, which cannot be directly controlled. Nevertheless, specific characteristics and price behaviors are exhibited by individual commodities, which manifest through seasonal patterns and characteristic fluctuations. This study aimed to analyses the day-ahead electricity market and identify the key factors influencing electricity price formation. Particular focus was given to the impact of meteorological variables and the interrelationships between the prices of other commodities, such as natural gas, coal and oil. A basic forecast of electricity prices in the day-ahead market was provided by a simple predictive model that was developed based on the findings. The results highlight the interconnectedness of energy markets and confirm that external factors play a crucial role in shaping electricity prices.