المؤلفون: M Ali, R Prasad, M Jamei, A Malik, Yong Xiang, S Abdulla, RC Deo, AA Farooque, AH Labban

مصطلحات موضوعية: Engineering, Mechanical engineering, ALGORITHM, Artificial intelligence methods for renewable, ARTIFICIAL-INTELLIGENCE, energy, Energy & Fuels, EXTREME LEARNING-MACHINE, Green & Sustainable Science & Technology, PARAMETERS, PERFORMANCE, Renewable energy resources, Science & Technology, Science & Technology - Other Topics, Sustainable energy management, Technology, Wave power prediction

Relation: http://hdl.handle.net/10779/DRO/DU:25216079.v1

الاتاحة: http://hdl.handle.net/10779/DRO/DU:25216079.v1
https://figshare.com/articles/journal_contribution/Short-term_wave_power_forecasting_with_hybrid_multivariate_variational_mode_decomposition_model_integrated_with_cascaded_feedforward_neural_networks/25216079

المؤلفون: Zihao Zheng, M Ali, M Jamei, Yong Xiang, M Karbasi, ZM Yaseen, AA Farooque

مصطلحات موضوعية: Uncategorised value

Relation: http://hdl.handle.net/10779/DRO/DU:22260190.v2

الاتاحة: http://hdl.handle.net/10779/DRO/DU:22260190.v2
https://figshare.com/articles/journal_contribution/Design_data_decomposition-based_reference_evapotranspiration_forecasting_model_A_soft_feature_filter_based_deep_learning_driven_approach/22260190