Author:
Bunruangses M.,Chaiwong K.,Amiri I. S.,Youplao P.,Pornsuwancharoen N.,Yupapin P.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference43 articles.
1. Fusco, G., Bracci, A., Caligiuri, T., Colombaroni, C., & Isaenko, N. (2018). Experimental analyses and clustering of travel choice behaviours by floating car big data in a large urban area. IET Intelligent Transport Systems,12, 270–278.
2. Zhuang, Z., Ramachandra, H., & Xiong, C. (2015). Taming replication latency of big data events with capacity planning. Computer,48, 36–41.
3. Mao, M., Yue, Y., & Chang, L. (2016). Multi-time scale forecast for schedulable capacity of Electric Vehicle fleets using big data analysis. In 2016 IEEE 7th international symposium on power electronics for distributed generation systems (PEDG) (pp. 1–7).
4. Mao, M., Wang, Y., Yue, Y., & Chang, L. (2017). Multi-time scale forecast for schedulable capacity of EVs based on big data and machine learning. In 2017 IEEE, Energy conversion congress and exposition (ECCE) (pp. 1425–1431).
5. Atabaki, A. H., Moazenni, S., Pavanello, F., et al. (2018). Integrating photonics with silicon nanoelectronics for next generation of system on a chip. Nature,556, 349–354.
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