Robotics & Machine Learning Daily News2024,Issue(Jul.2) :103-104.

Investigators at Department of Electrical Engineering Report Findings in Machine Learning (Predicting Global Horizontal Irradiance of North Central Region of In dia Via Machine Learning Regressor Algorithms)

电机工程系的研究人员报告了机器学习的发现(通过机器学习回归算法预测印度中北部地区的全球水平辐照度)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :103-104.

Investigators at Department of Electrical Engineering Report Findings in Machine Learning (Predicting Global Horizontal Irradiance of North Central Region of In dia Via Machine Learning Regressor Algorithms)

电机工程系的研究人员报告了机器学习的发现(通过机器学习回归算法预测印度中北部地区的全球水平辐照度)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器学习的新报告。根据NewsRx Comresponden TS来自印度新德里的消息,研究表明:“在天气条件变化后预测全球水平辐照度(GHI)的能力在推动可再生能源行业的经济增长方面变得越来越重要。选择相关气象变量预测全球水平辐照度至关重要,因为它会因不同的地理条件而影响预测精度。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news originating from New Delhi, India, by NewsRx corresponden ts, research stated, “The ability to predict global horizontal irradiance (GHI) in the wake of changing weather conditions is becoming increasingly important in driving economic growth in the renewable energy industry. The choice of relevan t meteorological variables for predicting GHI is crucial because it influences t he prediction accuracy due to various geographical conditions.”

Key words

New Delhi/India/Asia/Algorithms/Cybo rgs/Emerging Technologies/Machine Learning/Department of Electrical Engineeri ng

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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