AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China

AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China

As the largest carbon emitter, China faces an increasingly critical trade-off between the economy and the environment. Despite its recent increasing adoption of renewable energy, China continues to generate excessive emissions, particularly from its dominant thermal power sector. Against this backgr...

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Bibliographic Details
Main Authors: Chenhao Huang, Zhongyang Lin, Jian Wu, Penghan Li, Chaofeng Zhang, Yanzhao Liu, Weirong Chen, Xin Xu, Jinsong Deng
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Energy Conversion and Management: X
Subjects:
Thermal power generation
Energy transition
Peak carbon emission
Optimal Parameters-based Geographical Detector
Random Forest
Scenario simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174525000169
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http://www.sciencedirect.com/science/article/pii/S2590174525000169

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