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-机器学习的新研究是一篇报道的主题。据新闻报道新的sRx编辑从印度古吉拉特邦发回的报道称，“这项工作实现了一种太阳能发电的基于网格分布的单面和双面光伏组件的(DG)分布式发电系统减少电力损耗的网络。机器学习技术，如高斯回归学习器、线性回归学习器回归和人工神经网络预测全球水平辐照度(GHI)能源利用》。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Gujarat, India, by New sRx editors, research stated, “This work implements a solar-poweredDistribution Generation (DG) system using mono-facial and bifacial PV modules within mesh di stributionnetworks to minimize power loss. Machine learning techniques, such as Gaussian Regression Learner, LinearRegression, and Artificial Neural Networks, predict Global Horizontal Irradiance (GHI) for efficient solarenergy utilizati on.”
NETL
NSTL