FlexiDigital: A Comprehensive Approach to Energy Flexibility Services using Digital Twins and Large Language Models
The increasing penetration of renewable energy sources presents new challenges for grid stability, demand-response coordination, and energy flexibility.To address them, we introduce in this position paper, FlexiDigital, an interdisciplinary framework designed to integrate citizen-driven energy flexibility services through AI-powered digital assistants and federated digital twins.FlexiDigital enables prosumers to actively manage and trade their flexibility assets, offering a novel Flexibility-as-a-Service business model.Through dynamic incentives, real-time optimization, and system integration, FlexiDigital advances the clean energy transition by enhancing grid reliability, user engagement, and renewable integration.By giving resource owners direct control over their flexibility assets and compensating them fairly through adaptive pricing, the model fosters economic engagement and opens access to previously exclusive energy markets.
Authors
- Simon Brandacher
- Sasko Ristov (ORCID: https://orcid.org/0000-0003-1996-0098)
- Fengji Luo (ORCID: https://orcid.org/0000-0003-4041-6062)
- Adam Jatowt (ORCID: https://orcid.org/0000-0001-7235-0665)
- Peter Rosengren (ORCID: https://orcid.org/0000-0001-5690-1295)
- Danilo Valerio (ORCID: https://orcid.org/0000-0003-4104-3974)
- Philipp Gritsch (ORCID: https://orcid.org/0009-0008-9435-7364)
Institutions
- The University of Sydney (AU)
- Universität Innsbruck (AT)
- Siemens (Austria) (AT)
Publication Details
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1145/3679240.3734662
- Primary Topic
- Engineering Education and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Österreichische Forschungsförderungsgesellschaft