1. Abadi, M., Paul Barham, P., Jianmin Chen, J., Zhifeng Chen, Z., Andy Davis, A., Jeffrey Dean, J., Matthieu 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., Brain, G., 2016. TensorFlow: A System for Large-Scale Machine Learning. In: 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16). November 2–4. Savannah, GA, USA, ISBN: 978-1-931971-33-1.
2. A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization;Ahmed;Renew. Sustain. Energy Rev.,2020
3. Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods;AlShafeey;Energy Rep.,2021
4. Renewable energy policy effectiveness: A panel data analysis across Europe and Latin America;Bersalli;Renew. Sustain. Energy Rev.,2020
5. Applications of smart grid technology in Nepal: status, challenges, and opportunities;Bhattarai;Environ. Sci. Pollut. Res.,2023