Author

Marek Pavlík

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Open access Oct 2026

From Linear Regression to Temporal Fusion Transformers: Benchmarking Electricity Price Forecasting Models in Markets with Different Renewable Energy Shares

Rising renewable penetration increases wholesale price volatility and challenges traditional forecasting approaches. This paper benchmarks three methods—adaptive linear regression, Random Forest (RF), and the Temporal Fusion Transformer (TFT)—on hourly day-ahead prices in four European markets with contrasting generati...

J. Zbojovský, Marek Pavlík, Diana Hozová et al. · Electricity · 0 citations

#graph neural networks Review Open access Sep 2026

Solar Photovoltaic Generation Forecasting: A Review of Artificial Intelligence Approaches

The technical synthesis finds that classical machine learning remains competitive for day-ahead forecasting with well-structured numerical weather prediction inputs, that convolutional neural network–long short-term memory (CNN-LSTM) hybrids dominate the deep-learning literature, and that graph-based and transformer ar...

František Kurimský, Kamil Ševc, Marek Pavlík · Solar · 0 citations