3 papers
cs.CR2026
Detection of Anomalous Network Nodes via Hierarchical Prediction and Extreme Value Theory
Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai +2
Continuously evolving cyber-attacks against industrial networks reduce the effectiveness of signature-based detection methods. Once malware has infiltrated a network (for example,…
cs.LG2025
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
Lucas English, Mahdi Abolghasemi
Renewable energy generation is of utmost importance for global decarbonization. Forecasting renewable energies, particularly wind energy, is challenging due to the inherent uncerta…
cs.AI2025
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…