Multi-Level Stacked Regression for predicting electricity consumption of Hot Rolling Mill
Author:
Funder
National Research Foundation of Korea
Ministry of Science, ICT and Future Planning
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference32 articles.
1. A-stacking and A-bagging: Adaptive versions of ensemble learning algorithms for spoof fingerprint detection;Agarwal;Expert Systems with Applications,2020
2. Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection;Akyol;Expert Systems with Applications,2020
3. Stacked regressions;Breiman;Machine Learning,1996
4. Random forests;Breiman;Machine Learning,2001
5. Forecasting China’s electricity consumption using a new grey prediction model;Ding;Energy,2018
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