9 papers
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…
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…
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…
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…
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…
Safe Bottom-Up Flexibility Provision from Distributed Energy Resources
Costas Mylonas, Emmanouel Varvarigos, Georgios Tsaousoglou
Modern renewables-based power systems need to tap on the flexibility of Distributed Energy Resources (DERs) connected to distribution networks. It is important, however, that DER o…
Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting
Costas Mylonas, Titos Georgoulakis, Magda Foti
In this paper, we introduce a synergistic approach between artificial intelligence and system operators through an innovative digital twin architecture, integrated with an active l…
Empowering Aggregators with Practical Data-Driven Tools: Harnessing Aggregated and Disaggregated Flexibility for Demand Response
Costas Mylonas, Donata Boric, Leila Luttenberger Maric +3
This study explores the interaction between aggregators and building occupants in activating flexibility through Demand Response (DR) programs, with a focus on reinforcing the resi…
Active Distribution Grids Providing Voltage Support: The Swiss Case
Stavros Karagiannopoulos, Costas Mylonas, Petros Aristidou +1
The increasing installation of controllable Distributed Energy Resources (DERs) in Distribution Networks (DNs) opens up new opportunities for the provision of ancillary services to…