Author:
Gupta Urvashi,Sharma Rohit
Publisher
Springer Nature Switzerland
Reference44 articles.
1. Zhang, Y., Huang, T., Bompard, E.F.: Big data analytics in smart grids: a review. Energy Inform. 1(1), 1–24 (2018)
2. Pham, Q.-V., Liyanage, M., Deepa, N., Mounik, V.V.S.S., Reddy, S., Reddy, Maddikunta, P.K., Khare, N., Gadekallu, T.R., Hwang, W.-J.: Deep learning for intelligent demand response and smart grids: a comprehensive survey (2021). arXiv preprint: arXiv:2101.08013
3. Tan, K.M., Babu, T.S., Ramachandaramurthy, V.K., Kasinathan, P., Solanki, S.G., Raveendran, S.K.: Empowering smart grid: a comprehensive review of energy storage technology and application with renewable energy integration. J. Energy Storage 39, 102591 (2021)
4. Cui, L., Qu, Y., Gao, L., Xie, G., Yu, S.: Detecting false data attacks using machine learning techniques in smart grid: a survey. J. Netw. Comput. Appl. 170, 102808 (2020)
5. Bu, F., Dehghanpour, K., Yuan, Y., Wang, Z., Zhang, Y.: A data-driven game-theoretic approach for behind-the-meter PV generation disaggregation. IEEE Trans. Power Syst. 35(4), 3133–3144 (2020)