A dynamic multi-model transfer based short-term load forecasting

Enhanced short-term load forecasting with hybrid machine learning models: CatBoost and XGBoost approaches

Lijie Zhang, Dominik Jánošík · Expert Systems with Applications · 2023 · 198 citations

Computing, Data Science, Forecasting +13

BiLSTM deep neural network model for imbalanced medical data of IoT systems

Marcin Woźniak, Michał Wieczorek, Jakub Siłka · Future Generation Computer Systems · 2022 · 146 citations

Computing, Biomedical Informatics, Health Informatics +12

A improved pooling method for convolutional neural networks

Lei Zhao, Zhonglin Zhang · Scientific Reports · 2024 · 136 citations · Full text

Computing, Computer Science, Artificial Intelligence +15

Short-term power load forecasting based on Elman neural network with particle swarm optimization

Kun Xie, Yi Hong, Gangyi Hu et al. · Neurocomputing · 2019 · 135 citations

Computing, Computational Engineering, Forecasting +14

A survey on model-based reinforcement learning

Fan-Ming Luo, Tian Xu, Hang Lai et al. · Science China Information Sciences · 2024 · 109 citations · Full text

Computing, Computer Science, Artificial Intelligence +11