Artificial intelligence-based solutions for climate change: a review

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Main Authors: Chen, Lin, Chen, Zhonghao, Zhang, Yubing
Format: Book
Language:English
Published: Springer 2023
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Online Access:https://link.springer.com/article/10.1007/s10311-023-01617-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/9408
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spelling oai:localhost:PNK-94082023-10-03T02:57:09Z Artificial intelligence-based solutions for climate change: a review Chen, Lin Chen, Zhonghao Zhang, Yubing Artificial intelligence solutions for climate change CC-BY Climate change is a major threat already causing system damage to urban and natural systems, and inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because artificial intelligence integrates internet resources to make prompt suggestions based on accurate climate change predictions. Here we review recent research and applications of artificial intelligence in mitigating the adverse effects of climate change, with a focus on energy efficiency, carbon sequestration and storage, weather and renewable energy forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, and resilient cities. 2023-10-03T02:57:09Z 2023-10-03T02:57:09Z 2023 Book https://link.springer.com/article/10.1007/s10311-023-01617-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/9408 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Artificial intelligence
solutions for climate change
spellingShingle Artificial intelligence
solutions for climate change
Chen, Lin
Chen, Zhonghao
Zhang, Yubing
Artificial intelligence-based solutions for climate change: a review
description CC-BY
format Book
author Chen, Lin
Chen, Zhonghao
Zhang, Yubing
author_facet Chen, Lin
Chen, Zhonghao
Zhang, Yubing
author_sort Chen, Lin
title Artificial intelligence-based solutions for climate change: a review
title_short Artificial intelligence-based solutions for climate change: a review
title_full Artificial intelligence-based solutions for climate change: a review
title_fullStr Artificial intelligence-based solutions for climate change: a review
title_full_unstemmed Artificial intelligence-based solutions for climate change: a review
title_sort artificial intelligence-based solutions for climate change: a review
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10311-023-01617-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/9408
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score 8.891145