Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach

Research article (Applied Energy, 2018) · cited 97× · AI/ML
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Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach

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Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/achieving-the-carbon-intensity-target-of-china-a-least-squares-support-vector-machine-with-mixture-kernel-function-appro
MLA “Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/achieving-the-carbon-intensity-target-of-china-a-least-squares-support-vector-machine-with-mixture-kernel-function-appro.
BibTeX @misc{4ortxyz_achieving-the-carbon-intensity-target-of-china-a-least-squares-support-vector-machine-with-mixture-kernel-function-appro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach}}, year = {2026}, url = {https://4ort.xyz/entity/achieving-the-carbon-intensity-target-of-china-a-least-squares-support-vector-machine-with-mixture-kernel-function-appro}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach — https://4ort.xyz/entity/achieving-the-carbon-intensity-target-of-china-a-least-squares-support-vector-machine-with-mixture-kernel-function-appro (retrieved 2026-05-24)

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