An improved residual-based convolutional neural network for very short-term wind power forecasting

21 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

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2. A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting 2024 Citations 80 · OpenAlex
3. A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting 2024 Citations 77 · OpenAlex
4. Photovoltaic cell defect classification based on integration of residual-inception network and spatial pyramid pooling in electroluminescence images 2023 Citations 51 · OpenAlex
5. Photovoltaic cell defect classification based on integration of residual-inception network and spatial pyramid pooling in electroluminescence images 2023 Citations 51 · OpenAlex
6. WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network 2021 Citations 49 · OpenAlex
7. WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network 2021 Citations 49 · OpenAlex
8. WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network 2021 Citations 49 · OpenAlex
9. Comparison of eight methods of Weibull distribution for determining the best-fit distribution parameters with wind data measured from the met-mast 2023 Citations 23 · OpenAlex
10. Comparison of eight methods of Weibull distribution for determining the best-fit distribution parameters with wind data measured from the met-mast 2023 Citations 23 · OpenAlex