Robotics & Machine Learning Daily News2024,Issue(Nov.13) :8-9.

California State Polytechnic University Pomona Reports Findings in Machine Learn ing (Mapping Spatiotemporal Disparities in Residential Electricity Inequality Us ing Machine Learning)

加州州立理工大学波莫纳分校报告了机器学习的发现(用机器学习绘制住宅电力不平等的时空差异)

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :8-9.

California State Polytechnic University Pomona Reports Findings in Machine Learn ing (Mapping Spatiotemporal Disparities in Residential Electricity Inequality Us ing Machine Learning)

加州州立理工大学波莫纳分校报告了机器学习的发现(用机器学习绘制住宅电力不平等的时空差异)

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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-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者从加州波莫纳报道,研究称,"走向电气化对能源部门的脱碳至关重要,但可能会加剧能源的缺乏能力没有适当的安全措施。应对这一挑战需要捕捉邻里规模的动态,以揭开住宅电气不平等的盲点。

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 originating in Pomona, Califo rnia, by NewsRx journalists, research stated, “The move towardelectrification i s critical for decarbonizing the energy sector but may exacerbate energy unaffor dabilitywithout proper safeguards. Addressing this challenge requires capturing neighborhood-scale dynamics touncover the blind spots in residential electrici ty inequality.”

Key words

Pomona/California/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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