Author:
Shafi Isra,Javaid Nadeem,Naz Aqdas,Amir Yasir,Ishaq Israr,Naseem Kashif
Publisher
Springer International Publishing
Reference16 articles.
1. Kezunovic, M., Xie, L., Grijalva, S.: The role of big data in improving power system operation and protection. In: 2013 IREP Symposium on Bulk Power System Dynamics and Control-IX Optimization, Security and Control of the Emerging Power Grid (IREP), pp. 1–9. IEEE (2013)
2. Munshi, A.A., Yasser, A.R.M.: Big data framework for analytics in smart grids. Electr. Power Syst. Res. 151, 369–380 (2017)
3. Hou, W., Ning, Z., Guo, L., Zhang, X.: Temporal, functional and spatial big data computing framework for large-scale smart grid. IEEE Trans. Emerg. Topics Comput. (2017)
4. Wang, K., Xu, C., Zhang, Y., Guo, S., Zomaya, A.: Robust big data analytics for electricity price forecasting in the smart grid. IEEE Trans. Big Data (2017)
5. Varshney, H., Sharma, A., Kumar, R.: A hybrid approach to price forecasting incorporating exogenous variables for a day ahead electricity market. In: IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 1–6. IEEE, July 2016
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献