Data Analytics Techniques for Smart Grids Applications Using Machine Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46092-0_22
Reference10 articles.
1. Dang-Ha, T.-H., Olsson, R., Wang, H.: The role of big data on smart grid transition. In: Proceedings of IEEE International Conference Smart City/SocialCom/SustainCom (SmartCity), pp. 33–39 (2015)
2. Saggi, M.K., Jain, S.: A survey towards an integration of big data analytics to big insights for value-creation. Inf. Process. Manage. 54(5), 758–790 (2018)
3. Bharothu, J.N., Sridhar, M., Rao, R.S.: A literature survey report on smart grid technologies. In: Proceedings of International Conference Smart Electric Grid (ISEG), pp. 1–8 (2014)
4. Yan, Y., Qian, Y., Sharif, H., Tipper, D.: A survey on smart grid communication infrastructures: motivations, requirements and challenges. IEEE Commun. Surveys Tuts. 15(1), 5–20, 1st Quart. (2013)
5. Siano, P.: Demand response and smart grids—a survey. Renew. Sustain. Energy Rev. 30, 461–478 (2014)
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