Robotics & Machine Learning Daily News2024,Issue(Dec.6) :138-138.

Researchers from State Grid Shandong Electric Power Company Report Recent Findin gs in Artificial Intelligence (Optimization of energy acquisition system in smar t grid based on artificial intelligence and digital twin technology)

山东电力公司国家电网研究人员最近在人工智能(基于人工智能和数字孪生技术的smar t电网能量采集系统优化)中的发现

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :138-138.

Researchers from State Grid Shandong Electric Power Company Report Recent Findin gs in Artificial Intelligence (Optimization of energy acquisition system in smar t grid based on artificial intelligence and digital twin technology)

山东电力公司国家电网研究人员最近在人工智能(基于人工智能和数字孪生技术的smar t电网能量采集系统优化)中的发现

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的详细数据已经呈现。据新闻报道发源于国家电网神多吴电力公司,由NewsRx通讯员研究“针对智能电网中能量收集系统运行速度低和稳定性差的问题,”一种基于改进卷积神经网络的能量收集优化方法实验中提出了数字孪生技术。首先,提出了智能电网数据传输框架提出了集成数字孪生技术。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsoriginating from the State Grid Shando ng Electric Power Company by NewsRx correspondents, researchstated, “In respons e to the low operating speed and poor stability of energy harvesting systems in smartgrids, an energy harvesting optimization method based on improved convolut ional neural networks anddigital twin technology is proposed in the experiment. Firstly, a smart grid data transmission frameworkintegrating digital twin tech nology is proposed.”

Key words

State Grid Shandong Electric Power Compa ny/Artificial Intelligence/Emerging Technologies/Machine Learning/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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