DT4Energy: Open AI-Driven Digital Twins for Energy Systems...
summary
An open framework called DT4Energy implements a concrete DT4EC use case that runs day ahead 24-hour 15-minute forecasts for production and consumption, uses XGBoost for consumption and LSTM plus attention for PV production, and embeds an AI assistant plus generative AI with RAG for explainability. The stack uses the OneNet data space for sovereign data exchange, is validated with three Italian energy communities (~100 prosumers each), and targets open source release (≥80% of artifacts).
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chapters (9)
- 0:00Introduction to DT4Energy
- 6:42Digital Twin for Energy
- 7:25DT4Energy framework overview
- 9:52Energy community use case
- 12:01AI integration in pipeline
- 15:10Open energy ecosystem vision
- 18:41Open source and interoperability goals
- 20:26Community roadmap and adoption
- 21:11Q&A session
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