APA (7th ed.) Citation

Sahani, M., Choudhury, S., Siddique, M. D., Parida, T., Dash, P. K., & Panda, S. K. (2024). Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network. Engineering applications of artificial intelligence, 136, 108935. https://doi.org/10.1016/j.engappai.2024.108935

Chicago Style (17th ed.) Citation

Sahani, Mrutyunjaya, Sasmita Choudhury, Marif Daula Siddique, Tanmoy Parida, Pradipta Kishore Dash, and Sanjib Kumar Panda. "Precise Single Step and Multistep Short-term Photovoltaic Parameters Forecasting Based on Reduced Deep Convolutional Stack Autoencoder and Minimum Variance Multikernel Random Vector Functional Network." Engineering Applications of Artificial Intelligence 136 (2024): 108935. https://doi.org/10.1016/j.engappai.2024.108935.

MLA (9th ed.) Citation

Sahani, Mrutyunjaya, et al. "Precise Single Step and Multistep Short-term Photovoltaic Parameters Forecasting Based on Reduced Deep Convolutional Stack Autoencoder and Minimum Variance Multikernel Random Vector Functional Network." Engineering Applications of Artificial Intelligence, vol. 136, 2024, p. 108935, https://doi.org/10.1016/j.engappai.2024.108935.