Generative AI Framework for Smart Energy Infrastructure
A recent study introduces a cohesive generative-AI model aimed at enhancing smart energy systems, which encompasses advanced gas distribution, utility billing, carbon analysis, and quantum-inspired optimization. This research is available on arXiv, categorized under computer science and computation and language. It examines the intersection of smart metering, generative AI, and quantum-inspired combinatorial optimization to optimize the management of physical infrastructure, customer interaction, and environmental responsibility for energy utilities. The paper can be accessed on arXiv, including its submission history and references.
Key facts
- The paper proposes a unified generative-AI framework for smart energy infrastructure.
- It covers intelligent gas distribution, utility billing, carbon analytics, and quantum-inspired optimisation.
- The research is categorized under computer science and computation and language.
- It explores convergence of smart metering, generative AI, and quantum-inspired optimisation.
- The paper is published on arXiv.
- Submission history and references are included.
- The framework aims to improve utility management of physical infrastructure.
- It also addresses customer engagement and environmental accountability.
Entities
Institutions
- arXiv