Khodayar, Mahdi, Mohammadi, Saeed, Khodayar, Mohammad E., Wang, Jianhui, and Liu, Guangyi. Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting. Retrieved from https://par.nsf.gov/biblio/10479420. IEEE Transactions on Sustainable Energy 11.2 Web. doi:10.1109/TSTE.2019.2897688.

Khodayar, Mahdi, Mohammadi, Saeed, Khodayar, Mohammad E., Wang, Jianhui, & Liu, Guangyi. Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting. IEEE Transactions on Sustainable Energy, 11 (2). Retrieved from https://par.nsf.gov/biblio/10479420. https://doi.org/10.1109/TSTE.2019.2897688

Khodayar, Mahdi, Mohammadi, Saeed, Khodayar, Mohammad E., Wang, Jianhui, and Liu, Guangyi. "Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting". IEEE Transactions on Sustainable Energy 11 (2). Country unknown/Code not available: IEEE. https://doi.org/10.1109/TSTE.2019.2897688. https://par.nsf.gov/biblio/10479420.

@article{osti_10479420,
place = {Country unknown/Code not available}, title = {Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting}, url = {https://par.nsf.gov/biblio/10479420}, DOI = {10.1109/TSTE.2019.2897688}, abstractNote = {}, journal = {IEEE Transactions on Sustainable Energy}, volume = {11}, number = {2}, publisher = {IEEE}, author = {Khodayar, Mahdi and Mohammadi, Saeed and Khodayar, Mohammad E. and Wang, Jianhui and Liu, Guangyi}, }