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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.16232 |
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| _version_ | 1866916016357900288 |
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| author | Manjunath, Pavan pruefer, Thomas |
| author_facet | Manjunath, Pavan pruefer, Thomas |
| contents | The accelerating convergence of smart metering, generative artificial intelligence, and quantum-inspired combinatorial optimisation is reshaping how energy utilities manage physical infrastructure, customer engagement, and environmental accountability |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_16232 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Unified Generative-AI Framework for Smart Energy Infrastructure: Intelligent Gas Distribution, Utility Billing, Carbon Analytics, and Quantum-Inspired Optimisation Manjunath, Pavan pruefer, Thomas Computation and Language Artificial Intelligence Emerging Technologies Machine Learning Systems and Control The accelerating convergence of smart metering, generative artificial intelligence, and quantum-inspired combinatorial optimisation is reshaping how energy utilities manage physical infrastructure, customer engagement, and environmental accountability |
| title | A Unified Generative-AI Framework for Smart Energy Infrastructure: Intelligent Gas Distribution, Utility Billing, Carbon Analytics, and Quantum-Inspired Optimisation |
| topic | Computation and Language Artificial Intelligence Emerging Technologies Machine Learning Systems and Control |
| url | https://arxiv.org/abs/2605.16232 |