IEEE

Mid-Term Load Forecasting with Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...

FortiGate Edge Intrusions: Stolen Service Accounts Lead to Rogue Workstations and Deep AD Compromise

Throughout early 2026, SentinelOne’s Digital Forensics & Incident Response (DFIR) team has responded to several incidents where FortiGate Next-Generation Firewall (NGFW) appliances have been ...
IEEE

Data-Driven Dimension Reduction for Industrial Load Modeling Using Inverse Optimization

Abstract: The intricate mixed-integer constraints in industrial load models not only pose challenges for their direct integration into economic dispatch or market clearing processes but also render ...