Forecasting Sales in Retail with XGBoost and Iterated Multi-step Ahead Method
Author:
Affiliation:
1. University of Zagreb,Laboratory for Renewable Energy Systems, Faculty of Electrical Engineering and Computing,Zagreb,Croatia
Funder
European Union
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9954386/9954628/09954658.pdf?arnumber=9954658
Reference21 articles.
1. Time series forecasting using a hybrid ARIMA and neural network model
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4. Power Load Forecasting Based on the Combined Model of LSTM and XGBoost
5. Application of XGBoost algorithm in hourly PM2.5 concentration prediction
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