
UBITECH’s Energy Digitalisation (EDG) Research Group (https://ubitech.eu/edg/) has published a new research paper introducing a conversational agentic interface that connects everyday natural language to physics-based household energy simulation. The paper, titled “A Conversational Agentic Interface to Physics-Based Household Digital Twins for Residential Energy Decision Support,” is now available on arXiv and has been accepted for presentation at the IEEE PES Innovative Smart Grid Technologies (ISGT) Europe 2026 conference, taking place October 19–22, 2026 in Budapest, Hungary. The work, authored by Costas Mylonas, Titos Georgoulakis, and Dr. Magda Foti of UBITECH’s Energy Digitalisation Group, tackles a persistent bottleneck in residential energy decision-making: the gap between high-fidelity physical simulation and the people who actually need its insights. Homeowners weighing a retrofit, consultants assessing building- and district-level interventions, and retailers or aggregators estimating residential flexibility for distributed energy resource coordination have historically been forced to choose between costly, static professional audits, rough rule-of-thumb estimates that ignore household specificity, or simulation tools that demand specialised engineering expertise to operate. UBITECH’s new framework is designed to close that gap by letting any of these stakeholders query a rigorous, physics-based household model simply by describing what they want to know.
Continue reading UBITECH Unveils Conversational Agentic Interface for Physics-Based Household Digital Twins, Accepted at IEEE PES ISGT Europe 2026










