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An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models Journal article
Li, Jinbo, Liu, Peng, Chen, Long, Pedrycz, Witold, Ding, Weiping. An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models[J]. IEEE Transactions on Artificial Intelligence, 2024, 5(11), 5771-5785.
Authors:  Li, Jinbo;  Liu, Peng;  Chen, Long;  Pedrycz, Witold;  Ding, Weiping
Favorite | TC[Scopus]:3 | Submit date：2024/08/05
Adaptation Models  Data Models  Complexity Theory  Boosting  Analytical Models  Optimization  Heuristic Algorithms  Ensemble Learning  Fuzzy Rules-based Model  Incremental Models  Interpretability  
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings Journal article
Ahmad, Tanveer, Zhang, Hongcai, Yan, Biao. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings[J]. Sustainable Cities and Society, 2020, 55, 102052.
Authors:  Ahmad, Tanveer;  Zhang, Hongcai;  Yan, Biao
Favorite | TC[WOS]:280 TC[Scopus]:353  IF:10.5/10.0 | Submit date：2021/09/09
Renewable Energy Sources  Forecasting Models  Energy Planning  Machine Learning Models  Ensemble Models  Artificial Neural Networks