Artificial intelligence-based solutions for climate change: a review
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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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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 |
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Digital Phenikaa |
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Digital Phenikaa |
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English |
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Artificial intelligence solutions for climate change |
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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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1779307179106369536 |
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