@inproceedings{84740e0abbd94c57a73327a6ca0aba67,
title = "Big data, better energy management and control decisions for distribution systems in smart grid",
abstract = "Big Data is an essential element for energy management and control decision toward improved energy security, efficiency, and decreasing costs of energy use. Power distribution network is required to deliver electric energy reliability with reduced complexity and to be part of future smart grid. Therefore, in this paper Big Data related to the distribution generation systems will be discussed and illustrated within the context of smart grid principle. The paper work is to study the impact of adopting big data on energy management systems and to show the importance of the big data in strategic decision-making. The paper will highlight the Big Data issues and challenges associated with it in the energy management and control decisions in power distribution networks.",
keywords = "Big Data, Big Data analytics, Distribution systems, Energy Mangement, Smart grid",
author = "Refaat, \{Shady S.\} and Haitham Abu-Rub and Amira Mohamed",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE International Conference on Big Data, Big Data 2016 ; Conference date: 05-12-2016 Through 08-12-2016",
year = "2016",
doi = "10.1109/BigData.2016.7840966",
language = "English",
series = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3115--3120",
editor = "James Joshi and George Karypis and Ling Liu and Hu, \{Xiaohua Tony\} and Ronay Ak and Yinglong Xia and Weijia Xu and Aki-Hiro Sato and Sudarsan Rachuri and Lyle Ungar and Yu, \{Philip S.\} and Rama Govindaraju and Toyotaro Suzumura",
booktitle = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
address = "United States",
}