Artificial intelligence‐driven insights: Precision tracking of power plant carbon emissions using satellite data

Artificial intelligence‐driven insights: Precision tracking of power plant carbon emissions using satellite data

Abstract Human activities have been driving massive greenhouse gas emissions, causing global warming, and triggering increasingly frequent extreme weather events that severely threaten the environment. Power generation is the leading contributor to anthropogenic emissions, making precise, real‐time...

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Bibliographic Details
Main Authors: Zeqi Zhang, Di Leng, Yingjie Li, Xuanang Gui, Yuheng Cheng, Junhua Zhao, Zhengwen Zhang, Amer M. Y. M. Ghias
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Energy Conversion and Economics
Subjects:
artificial intelligence
carbon accounting
carbon emissions quantification
plume detection
power plant
tropospheric monitoring instrument
Online Access:https://doi.org/10.1049/enc2.12129
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https://doi.org/10.1049/enc2.12129

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