1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D.G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., Zheng, X., 2016. TensorFlow: A system for large-scale machine learning. arXiv:1605.08695 [cs].
2. The atmospheric radiation measurement program;Ackerman;Phys. Today,2003
3. SURFRAD - A national surface radiation budget network for atmospheric research;Augustine;Bull. Am. Meteorol. Soc.,2000
4. Cloud detection for high-resolution satellite imagery using machine learning and multi-feature fusion;Bai;Remote Sensing,2016
5. Brown, M., Cole, W., Eurek, K., Becker, J., Bielen, D., Chernyakhovskiy, I., Cohen, S., Frazier, W., Gagnon, P., Gates, N., Greer, D., Gudladona, S., Ho, J., Jadun, P., Lamb, K., Mai, T., Mowers, M., Murphy, C., Rose, A., Schleifer, A., Steinberg, D., Sun, Y., Vincent, N., Zhou, E., Zwerling, M., 2020. Regional Energy Deployment System (ReEDS) Model Documentation: Version 2019 (No. NREL/TP-6A20-74111). National Renewable Energy Laboratory, Golden, CO.