通过数字化转型构建人工智能基础.pdf

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1、 2025 Electric Power Research Institute,Inc.All rights Developing the Foundation for AI through Digital TransformationArtificial Intelligence(AI)and Digital Transformation(DX)Electric Power SummitJanuary 8,2025Technical Presentation Session A4 2025 Electric Power Research Institute,Inc.All rights re

2、served.2Topics&Speakers Daniel Roesler,UtilityAPI Hallie Carrao,Google Call for Carbon Data Transparency fueling Utility Digital Transformation Cassie Shaban,EPRI EPRI and the Digital Transformation Research Initiative(DXRI)Abder Elandaloussi,Southern California Edison Digital Twins Definition,Consi

3、derations,and Use Cases Gianluca Lipari,EPRI AI for digital transformation and clean energy transition in the electric power industry,opportunities and challengesCall for Carbon Data Transparency fueling Utility Digital TransformationCreating open standards for utility connectivity and data access20

4、25-01-08-EPRI AI/DX Summit-Palo AltoSpeakers:Hallie Carrao(Google)and Daniel Roesler(UtilityAPI)Project Motivation:Why Google got involvedHallie Carrao,GoogleGoogles Energy JourneyWhy 100%Annual Renewable Energy Matching is Not EnoughInterest in the CDSCAiming to accelerate pathways to grid decarbon

5、ization by providing data that is:Better data is a foundational building block to develop the solutions needed for any clean energy future.Tour of discovery and connectivity specsconnectivity.carbondataspec.orgThe problem:Getting data once is easyGetting data at scale is hardWhats hard about getting

6、 utility customer data at scale?Need way more data nowadays than just the customers bills or monthly kwhMost customers have no idea how to get their data needed for analysisIndividual customer data is private and sensitive and requires consent to getFragmented across many utilities and other central