Predicting Short-Term Electricity Demand by Combining the Advantages of ARMA and XGBoost in Fog Computing Environment - researchr publication authors

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Chuanbin Li, Xiaosen Zheng, Zikun Yang, Li Kuang. Predicting Short-Term Electricity Demand by Combining the Advantages of ARMA and XGBoost in Fog Computing Environment. Wireless Communications and Mobile Computing, 2018, 2018. [doi]

This author has not been identified. Look up 'Chuanbin Li' in GoogleThis author has not been identified. Look up 'Xiaosen Zheng' in GoogleThis author has not been identified. Look up 'Zikun Yang' in GoogleThis author has not been identified. Look up 'Li Kuang' in Google

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