03336nam a22003497c 4500 00006687 ES-MaONT 20241218012008.0 210907s2021 |||||rt|||i001 0 eng d . ES-MaONT World Economic Forum 2608 Harnessing Artificial Intelligence to Accelerate the Energy Transition / World Economic Forum ; In collaboration with BloombergNEF and Deutsche Energie-Agentur (dena) Geneva : World Economic Forum. 2021 24 p. : il., tablas, gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier White Papers ; September 2021 The efforts to decarbonize the global energy system are leading to an increasingly integrated and electrified energy system, with much more interaction between the power, transport, industry and building sectors. The move to decarbonize the energy supply is also leading to high levels of decentralization in the power sector. This will require much higher levels of coordination and flexibility from all sector players – including consumers – in order to manage this increasingly complex system and optimize it for minimal greenhouse gas emissions. AI has tremendous potential to support and accelerate a reliable and lowest-cost energy transition, with potential applications ranging from optimizing and efficiently integrating variable renewable energy resources into the power grid, to supporting a proactive and autonomous electricity distribution system, to opening up new revenue streams for demand-side flexibility. AI could also be a crucial accelerator in the search for performance materials that support the next generation of clean energy and storage technologies. However, despite its promise, AI’s use in the energy sector is limited, with it primarily deployed in pilot projects for predictive asset maintenance. While it is useful there, a much greater opportunity exists for AI to help accelerate the global energy transition than is currently realized. The nine “AI for the energy transition” principles (see below) aim at creating a common understanding of what is needed to unlock the potential of AI across the energy sector and how to safely and responsibly adopt AI to accelerate the energy transition. The principles are split into three areas: those that govern AI use, those that will help design AI to be fit for purpose, and those that enable AI’s deployment and are aimed at helping to create collaborative industry and policy practices. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, including photocopying and recording, or by any information storage and retrieval system. World Economic Forum 4348 Inteligencia Artificial 2345 Industrias energy transition energy sector renewable energy create collaborative design AI White Papers (World Economic Forum) 5156 http://www3.weforum.org/docs/WEF_Harnessing_AI_to_accelerate_the_Energy_Transition_2021.pdf 0 Acceso al documento pdf z INF 6687 6687 0 0 z 0 3 1 01 01 online 2021-09-07 0 1000020176880 2021-09-07 00:00:00 2021-09-07 INF pdf