当前位置:首页 >英文主页 >中英对照 > 报告详情

凯捷&Databricks:2025 AI与生成式AI赋能清洁能源转型研究报告(英文版)(12页).pdf

上传人: Kell****reet 编号:713571 2025-06-17 12页 5.03MB

下载:

1、Power the clean energy transitionFuel sustainable,smarter,and more reliable energy systems with AI and Gen AI.The energy sector has reached an inflection point.The transition to cleaner,greener energy sources is well underway,but the steady growth in the use of decentralized power systems such as so

2、lar,wind,and geothermal energy has meant that the grid is now more multi-faceted and complex.And just as energy sources have become more disparate,energy demands have become less predictable thanks to trends such as extreme weather events,remote work,and changing consumer behavior.These dynamic dema

3、nds and democratization of diverse energy sources have resulted in a palpable shift in the energy landscape one that is bringing planning,production,and delivery systems to a tipping point as legacy energy management platforms struggle to operate effectively.Last year,renewable energy capacity grew

4、by 50%globally,with China leading the way on solar power,and record increases in Europe,Brazil,and the US.But with this record-breaking growth,shifting economic and trading landscape comes challenges,as the industry straddles new and old systems,and works to serve the continued need for traditional,

5、reliable,and affordable energy alongside this growing demand for renewables.2Power the clean energy transition I Fuel sustainable,smarter,and more reliable energy systems with AI&Gen AI.Traditional energy systems were built on static rules,siloed data,and centralized control structures that cant res

6、pond quickly enough or scale effectively to meet todays needs.They simply werent designed for the level of complexity seen today.And its not like the old fuel pipes are being turned off as the new ones are powered up fossil-fuel-based energy systems are far from being retired.Energy companies must a

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
本文主要内容概述如下: 1. 能源行业正面临转型,清洁能源的使用正在增长,尤其是太阳能、风能和地热能源。 - 核心数据:去年全球可再生能源容量增长了50%,中国在太阳能领域领先。 2. 能源需求变得不可预测,行业需要应对可再生能源的间歇性和价格波动。 - 关键点:能源公司需整合新旧系统,满足传统和可再生能源的需求。 3. 能源公司需采用新一代智能仪表和资产数据策略,利用实时数据、机器学习和AI进行能源供应和需求预测。 - 核心数据:利用AI能力,为能源生产和分配的每个方面提供解决方案。 4. 数据和数据分析常被锁定在专有软件中,限制了能源公司的能力。 - 关键点:采用开放数据平台和主权数据管理方法,以提高数据处理和分析能力。 5. Capgemini与Databricks合作,通过AI和Gen AI优化能源行业,提供了一系列数据加速器和解决方案。 - 成果:提高了客户满意度,减少了手动工作量,改善了监管报告和响应时间。 6. 文末强调了通过技术投资实现能源行业可持续性和效率提升的重要性。 - 目标:建立一个更可持续和高效的能源生态系统,满足全球对可再生能源日益增长的需求。
"如何利用AI实现能源转型?" "智能能源系统将如何影响我们的生活?" "数据管理在清洁能源领域的重要性?"
客服
商务合作
小程序
服务号
折叠