A Unified Generative-AI Framework for Smart Energy Infrastructure: Intelligent Gas Distribution, Utility Billing, Carbon Analytics, and Quantum-Inspired Optimisation
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Abstract (arXiv)
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
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 58 references that are in the map. First posted on arXiv 15 May 2026.
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11 of 58 references.
References · 11
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2020Denoising Diffusion Probabilistic Modelscited by 21,076
- 2022Training language models to follow instructions with human feedbackcited by 15,971
- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
- 2020Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecastingcited by 2,169
- 2022A Time Series is Worth 64 Words: Long-term Forecasting with Transformerscited by 2,039
- 2019Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecastingcited by 761
- 2013Ising formulations of many NP problemscited by 207
- 2018Review of Smart Meter Data Analytics: Applications, Methodologies, and Challengescited by 47
- 2019Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGANcited by 16
- 2020Quantum computing for energy systems optimization: Challenges and opportunitiescited by 15
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