项目主要构建了多混频Realized GARCH-MIDAS-X模型，结合社交媒体情绪和高频数据，与 不加社交媒体情绪指标的模型相比，加入后的模型显著提升了内地低碳市场波动预测的准确性。通过稳健 性检验，证明了研究结果的可靠性。该研究丰富了市场波动模型，并为低碳投资和宏观调控提供了参考。
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Dec 17, 2024 - Python
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low-carbon
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Le modèle EOLES pour le secteur électrique comprenant les énergies renouvelables et le nucléaire pour l'année 2035
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Jan 28, 2020 - GAMS
A demonstration of how to build low-carbon websites with Wagtail
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Sep 3, 2024 - Python
Low carbon training and fine-tuning
api gcp carbon carbon-emissions real-time-data carbon-footprint carbon-intensity-api low-carbon vertex-ai training-location
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Aug 15, 2024 - Jupyter Notebook
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