M.S, H. L., M.S, M., S, A., M.A, H., K, H., M.R, S., . . . 36518949700. (2023). Data-driven hybrid approaches for renewable power prediction toward grid decarbonization: Applications, issues and suggestions. Elsevier Ltd.
Chicago Style (17th ed.) CitationM.S, Hossain Lipu, et al. Data-driven Hybrid Approaches for Renewable Power Prediction Toward Grid Decarbonization: Applications, Issues and Suggestions. Elsevier Ltd, 2023.
MLA (9th ed.) CitationM.S, Hossain Lipu, et al. Data-driven Hybrid Approaches for Renewable Power Prediction Toward Grid Decarbonization: Applications, Issues and Suggestions. Elsevier Ltd, 2023.
Warning: These citations may not always be 100% accurate.