Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset
Addressing the critical need for intelligent, context-aware energy management in renewable systems, we introduce the OpenCEM Simulator and Dataset: the first open-source digital twin explicitly designed to integrate rich, unstructured contextual information with quantitative renewable energy dynamics. Traditional energy management relies heavily on numerical time series, thereby neglecting the significant predictive power embedded in human-generated context (e.g., event schedules, system logs, user intentions). OpenCEM bridges this gap by offering a unique platform comprising both a meticulously aligned, language-rich dataset from a real-world PV-and-battery microgrid installation and a m...
| Authors | Tinko Sebastian Bartels, Ruixiang Wu, Xinyu Lu et al. |
|---|---|
| Primary category | eess.SY |
| Published | 7 April 2026 |
| Last updated at source | 8 April 2026 |
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