Cite
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
MLA
Sujan Ghimire, et al. “A Novel Approach Based on Integration of Convolutional Neural Networks and Echo State Network for Daily Electricity Demand Prediction.” Energy, vol. 275, July 2023, p. 127430. EBSCOhost, https://doi.org/10.1016/j.energy.2023.127430.
APA
Sujan Ghimire, Thong Nguyen-Huy, Mohanad S. AL-Musaylh, Ravinesh C. Deo, David Casillas-Pérez, & Sancho Salcedo-Sanz. (2023). A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction. Energy, 275, 127430. https://doi.org/10.1016/j.energy.2023.127430
Chicago
Sujan Ghimire, Thong Nguyen-Huy, Mohanad S. AL-Musaylh, Ravinesh C. Deo, David Casillas-Pérez, and Sancho Salcedo-Sanz. 2023. “A Novel Approach Based on Integration of Convolutional Neural Networks and Echo State Network for Daily Electricity Demand Prediction.” Energy 275 (July): 127430. doi:10.1016/j.energy.2023.127430.