Development of a Hybrid Framework for Knowledge Discovery in Smart Grid Data From Underground Substations
Smart Grids rely on extensive monitoring of operational data to ensure reliable and efficient energy distribution. Underground substations, widely used in dense urban areas, pose unique challenges due to high ambient temperatures, constrained spaces, and noisy or irregular data, which limit the effe...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11345572/ |
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