Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island's Wind Farm Power Forecasting
B Ramadevi, VR Kasi, K Bingi - Fractal and Fractional, 2024 - mdpi.com
Efficient integration of wind energy requires accurate wind power forecasting. This prediction
is critical in optimising grid operation, energy trading, and effectively harnessing renewable …
is critical in optimising grid operation, energy trading, and effectively harnessing renewable …
Prediction of Natural Rubber Customs Declaration Price Based on Wavelet Decomposition and GA-BP Neural Network Group
H Yi, K Zhang, K Ma, L Zhou, F Tang - Mathematics, 2022 - mdpi.com
Natural rubber is mainly dependent on import in China, its domestic market price is
influenced by the Natural Rubber Customs Declaration Price (NRCDP). Considering the …
influenced by the Natural Rubber Customs Declaration Price (NRCDP). Considering the …
[PDF][PDF] Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island's Wind Farm Power Forecasting
R Bhukya, VR Kasi, K Bingi - Applications of Fractional-Order …, 2024 - nmbu.brage.unit.no
Efficient integration of wind energy requires accurate wind power forecasting. This prediction
is critical in optimising grid operation, energy trading, and effectively harnessing renewable …
is critical in optimising grid operation, energy trading, and effectively harnessing renewable …
Ultra-short-term wind speed forecasting based on meta learning with signal trend and fluctuation decomposition
Z Wang, Y Su, H Li - 2021 5th Asian Conference on Artificial …, 2021 - ieeexplore.ieee.org
Accurate wind speed prediction for each wind turbine is a critical basis of information for
intelligent management and control of wind power system. How to precisely realize rapid …
intelligent management and control of wind power system. How to precisely realize rapid …