4 citations · 4 across the 4 of their papers we have counts for
5 papers
End-to-End Pseudo-Measurement Learning for State Estimation under Limited Observability
J. G. De la Varga, S. Pineda, A. Stratigakos +1
Distribution System State Estimation (DSSE) is becoming increasingly important with the integration of Distributed Energy Resources (DERs) and the active operation of distribution…
Constructing Deployment Scenarios for Reserve Deliverability via Adaptive Robust Optimization
Guillaume Van Caelenberg, Akylas Stratigakos, Elina Spyrou
Network congestion often hinders the deployment of reserves needed to balance forecast errors during real-time operations. A pertinent idea to tackle this challenge involves adding…
Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing Data
Akylas Stratigakos, Panagiotis Andrianesis
Short-term forecasting models typically assume the availability of input data (features) when they are deployed and in use. However, equipment failures, disruptions, cyberattacks,…
Predict+Optimize Problem in Renewable Energy Scheduling
Christoph Bergmeir, Frits de Nijs, Evgenii Genov +25
Predict+Optimize frameworks integrate forecasting and optimization to address real-world challenges such as renewable energy scheduling, where variability and uncertainty are criti…
Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece
Panagiotis G. Papaioannou, George P. Papaioannou, Kostas Siettos +2
Liberalization of electricity markets has increasingly created the need for understanding the volatility and correlation structure between electricity and financial markets. This w…