4 papers
Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series
Georg Velev, Stefan Lessmann
The dynamic energy sector requires both predictive accuracy and runtime efficiency for short-term forecasting of energy generation under operational constraints, where timely and p…
Causality analysis of electricity market liberalization on electricity price using novel Machine Learning methods
Orr Shahar, Stefan Lessmann, Daniel Traian Pele
Relationships between the energy and the finance markets are increasingly important. Understanding these relationships is vital for policymakers and other stakeholders as the world…
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods
Alexandru-Victor Andrei, Georg Velev, Filip-Mihai Toma +2
Energy is a critical driver of modern economic systems. Accurate energy price forecasting plays an important role in supporting decision-making at various levels, from operational…
Interpretable, multi-dimensional Evaluation Framework for Causal Discovery from observational i.i.d. Data
Georg Velev, Stefan Lessmann
Nonlinear causal discovery from observational data imposes strict identifiability assumptions on the formulation of structural equations utilized in the data generating process. Th…