Study Results from Department of Communications & Electronics Upda te Understanding of Machine Learning (Optimizing Iot-driven Smart Grid Stability Prediction With Dipper Throated Optimization Algorithm for Gradient Boosting Hy perparameters)

通信与电子系的研究结果对机器学习的理解（用北斗优化算法优化物联网驱动的智能电网稳定性预测，用于梯度提升的参数）

Robotics & Machine Learning Daily News2024，Issue(Dec.2) ：178-179.

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Study Results from Department of Communications & Electronics Upda te Understanding of Machine Learning (Optimizing Iot-driven Smart Grid Stability Prediction With Dipper Throated Optimization Algorithm for Gradient Boosting Hy perparameters)

通信与电子系的研究结果对机器学习的理解（用北斗优化算法优化物联网驱动的智能电网稳定性预测，用于梯度提升的参数）

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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新闻-调查人员发布关于机器学习的新报告.根据新闻报道来自埃及曼苏拉的NewsRx Cor受访者的研究表明，“随着全球人口的激增”经济扩张，电力需求明显增加。这就需要向住宅和工业部门有效分配电力，以尽量减少能源损失。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Mansoura, Egypt, by NewsRx cor respondents, research stated, “With the surge in global populationand economic expansion, there’s been a marked increase in electricity demand. This necessitat es theefficient distribution of electricity to both residential and industrial sectors to minimize energy loss.”

Key words

Mansoura/Egypt/Africa/Algorithms/Cyb orgs/Emerging Technologies/Machine Learning/Department of Communications & Electronics

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出版年

2024

Robotics & Machine Learning Daily News

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