6 papers · 1 filter
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…
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…