Prediction of Household Carbon Emissions Based on SP-LIME and Ensemble Learning Models

Author:

Pang Zhengqi1,Kong Ying1

Affiliation:

1. Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China

Publisher

IEEE

Reference11 articles.

1. Application of EEMD and CNNXGBoost in short-term wind power prediction;zhou;Electronic Measurement Technology,2020

2. Forecast of intensity of carbon emission to China based on BR neural network and arima combined model;zhao;Resources and Environment in the Yangtze Basin,2012

3. RLS-weighted Lasso for adaptive estimation of sparse signals

4. A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China;hongcai;Journal of Hydrology,2020

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. High Fuel Consumption Driving Behavior Causal Analysis Based on LightGBM and SHAP;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2024-07-26

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