A Multimodal Dataset for Large Language Model Applications in the Energy Domain
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 integrates approximately 50,000 textual documents, 20,000 images, 25 million numerical time series records, and 2 million geospatial and relational data entries. It includes policy and regulatory texts, scientific articles and news articles, satellite and contextual imagery, electricity system measurements, weather observations, statistical indicators, and geospatial representations of energy infrastructure and related entities. All data have been harmonized into structured, ready-to-use formats, accompanied by consiste...
| Authors | Costas Mylonas, Magda Foti |
|---|---|
| Primary category | eess.SY |
| Published | 13 July 2026 |
| Last updated at source | 13 July 2026 |
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