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Updated: Jan 15, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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PINN-DT:利用混合物理信息的神经网络和数字双胞胎框架与区块链安全性优化智能建筑中的能源消耗

Hajar Kazemi Naeini1, Roya Shomali2, Abolhassan Pishahang3

  • 1Department of Civil Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

这项研究将深度强化学习与数字双胞胎,物理信息神经网络和区块链集成为智能电网能源优化. 这种新的方法显著提高了预测准确性,降低了成本,并提高了可再生能源的使用.

关键词:
区块链区块链区块链区块链区块链深度强化学习的学习.数字双胞胎数字双胞胎是什么意思优化能源的优化基于物理学的神经网络.智能电网是一个智能电网.

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