An efficient short term load demand forecasting using a novel parallel CNN-BiLSTM hybrid neural network for Bangladesh perspective.

MLA

Al-Amin, Md.Thesun, et al. “An Efficient Short Term Load Demand Forecasting Using a Novel Parallel CNN-BiLSTM Hybrid Neural Network for Bangladesh Perspective.” AIP Conference Proceedings, vol. 3242, no. 1, July 2024, pp. 1–10. EBSCOhost, https://doi.org/10.1063/5.0231967.

APA

Al-Amin, M. T., Hossain, A.-A., Jawad, T., & Rahmand, M. A. (2024). An efficient short term load demand forecasting using a novel parallel CNN-BiLSTM hybrid neural network for Bangladesh perspective. AIP Conference Proceedings, 3242(1), 1–10. https://doi.org/10.1063/5.0231967

Chicago

Al-Amin, Md. Thesun, Al-Amin Hossain, Tahmid Jawad, and Md. Abdur Rahmand. 2024. “An Efficient Short Term Load Demand Forecasting Using a Novel Parallel CNN-BiLSTM Hybrid Neural Network for Bangladesh Perspective.” AIP Conference Proceedings 3242 (1): 1–10. doi:10.1063/5.0231967.