Conveners
Machine Learning and Data Processing
- Jiří Franc (Czech Technical University (CZ))
Artificial Neural Networks (ANNs) such as Convolutional Neural Networks (CNNs) or Recurrent Neural Networks (RNNs) have become the building stone of deep learning models for complex tasks like image recognition or speech recognition. A perceptron model, the core cell of the ANNs, has been inspired by the neural processes in the human brain. However, the biological neural dynamics are much more...
Simulations of elementary particles are fundamental to new discoveries in the field of high energy physics. The Monte Carlo-based simulations often take form of a weighted datasets that need to be compared with real measurements. This work explores different modifications of standard homogeneity tests to weighted datasets using numerical simulations.
Along with the growing share of renewable energy sources together with pan European integration of day-ahead and intraday electricity markets, volatility in all kind of energy markets has been increasing in recent years. Increased liquidity in intraday markets helps to minimize deviations and stabilize the transmission system, and in long-term markets it helps to hedge contracts. With this...
