{"title":"人工智能时代的可持续电气化","authors":"Le Xie, Na Li, H. Vincent Poor","doi":"10.1038/s44287-024-00083-0","DOIUrl":null,"url":null,"abstract":"Sustainable electrification is essential for addressing climate change and leveraging artificial intelligence (AI). Electric grids have a fundamental role in decarbonizing the economy and enabling AI. Here we propose a comprehensive research agenda that integrates innovations in material discovery, computer architecture, smart grids and system theory to accelerate efficient, large-scale, low-carbon electrification.","PeriodicalId":501701,"journal":{"name":"Nature Reviews Electrical Engineering","volume":"1 8","pages":"493-494"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sustainable electrification in the era of AI\",\"authors\":\"Le Xie, Na Li, H. Vincent Poor\",\"doi\":\"10.1038/s44287-024-00083-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sustainable electrification is essential for addressing climate change and leveraging artificial intelligence (AI). Electric grids have a fundamental role in decarbonizing the economy and enabling AI. Here we propose a comprehensive research agenda that integrates innovations in material discovery, computer architecture, smart grids and system theory to accelerate efficient, large-scale, low-carbon electrification.\",\"PeriodicalId\":501701,\"journal\":{\"name\":\"Nature Reviews Electrical Engineering\",\"volume\":\"1 8\",\"pages\":\"493-494\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44287-024-00083-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44287-024-00083-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sustainable electrification is essential for addressing climate change and leveraging artificial intelligence (AI). Electric grids have a fundamental role in decarbonizing the economy and enabling AI. Here we propose a comprehensive research agenda that integrates innovations in material discovery, computer architecture, smart grids and system theory to accelerate efficient, large-scale, low-carbon electrification.
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