APA (7th ed.) Citation

M.M, R., M, S., S.K, T., F, K., N, A., J, P., . . . 57207730841. (2023). Prospective methodologies in hybrid renewable energy systems for energy prediction using artificial neural networks. MDPI AG.

Chicago Style (17th ed.) Citation

M.M, Rahman, Shakeri M, Tiong S.K, Khatun F, Amin N, Pasupuleti J, Hasan M.K, and 57207730841. Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks. MDPI AG, 2023.

MLA (9th ed.) Citation

M.M, Rahman, et al. Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks. MDPI AG, 2023.

Warning: These citations may not always be 100% accurate.