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From the 1 of 6 linked papers with an AI index.

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6 papers

eess.SY2026

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

Costas Mylonas, Magda Foti

The paper introduces mAIEnergy, an open-access multimodal dataset containing text, images, time‑series, and geospatial data to support large language model applications in the ener…

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…

eess.SY2025

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…

eess.SY2025

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…