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20202026
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cs.SE2026

A Governance-Aware Large Language Model Orchestrated Agentic Digital Twin for Transmission System Operator Control Room Decision Support

Costas Mylonas, Magda Foti, Emmanouel Varvarigos

Transmission system operators face rising complexity from renewable integration, reduced inertia, and tighter security margins. Large language models offer natural-language decisio…

eess.SY2026

A Multimodal Dataset for Large Language Model Applications in the Energy Domain

Costas Mylonas, Magda Foti

This paper presents the mAIEnergy dataset, an open-access, multimodal corpus developed to support Large Language Model (LLM) applications in the energy sector. The dataset integrat…

eess.SY2026

A Conversational Agentic Interface to Physics-Based Household Digital Twins for Residential Energy Decision Support

Costas Mylonas, Titos Georgoulakis, Magda Foti

Multiple actors around residential energy systems require accessible decision-support tools: homeowners and tenants for dwelling-level retrofit choices, consultants and municipal p…

eess.SY2026

PowerAgentBench-Dyn: A Benchmark for Agentic AI in Power System Dynamic Studies

Qian Zhang, Andrea Pomarico, Costas Mylonas +3

Large Language Model (LLM)-based agents are increasingly being used to automate multi-step engineering work flows by interacting with software tools, interpreting intermediate resu…

eess.SY2026

PowerAgentBench-SS: A Benchmark for Agentic AI in Power System Steady-State Studies

Costas Mylonas, Magda Foti, Andrea Pomarico +3

Power system benchmarks usually evaluate numerical solvers, prediction models, or sequential controllers. These benchmarks are necessary, but they do not directly test whether a La…