A. Fronzetti Colladon, A. L. Pisello, L. F. Cabeza
{"title":"通过数据科学推动清洁能源转型","authors":"A. Fronzetti Colladon, A. L. Pisello, L. F. Cabeza","doi":"arxiv-2408.15211","DOIUrl":null,"url":null,"abstract":"The demand for research supporting the development of new policy frameworks\nfor energy saving and conservation has never been more critical. As climate\nchange accelerates and its impacts become increasingly severe, the need for\nsustainable and resilient socioeconomic systems is increasingly pressing. In\nresponse to this global challenge, the ten articles of this special issue seek\nto explore how advances in Artificial Intelligence and Data Science can drive\nthe energy transition and enhance environmental sustainability.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Boosting the clean energy transition through data science\",\"authors\":\"A. Fronzetti Colladon, A. L. Pisello, L. F. Cabeza\",\"doi\":\"arxiv-2408.15211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The demand for research supporting the development of new policy frameworks\\nfor energy saving and conservation has never been more critical. As climate\\nchange accelerates and its impacts become increasingly severe, the need for\\nsustainable and resilient socioeconomic systems is increasingly pressing. In\\nresponse to this global challenge, the ten articles of this special issue seek\\nto explore how advances in Artificial Intelligence and Data Science can drive\\nthe energy transition and enhance environmental sustainability.\",\"PeriodicalId\":501043,\"journal\":{\"name\":\"arXiv - PHYS - Physics and Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Physics and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.15211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.15211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Boosting the clean energy transition through data science
The demand for research supporting the development of new policy frameworks
for energy saving and conservation has never been more critical. As climate
change accelerates and its impacts become increasingly severe, the need for
sustainable and resilient socioeconomic systems is increasingly pressing. In
response to this global challenge, the ten articles of this special issue seek
to explore how advances in Artificial Intelligence and Data Science can drive
the energy transition and enhance environmental sustainability.