Title :
A cloud-based architecture for Big-Data analytics in smart grid: A proposal
Author :
Mayilvaganan, M. ; Sabitha, M.
Author_Institution :
Dept. of Comput. Sci., P.S.G Coll. of Arts & Sci., Coimbatore, India
Abstract :
A Smart Grid is an enhanced version of electric grid in which the demand and supply are balanced to meet the customers need. The paper deals with the formation of a cloud-based Smart Grid for analyzing the Bid-Data and taking decisions to balance the demand of customer needs. The proposed formation of smart grid will deal with Big Data set which will contain the data regarding the power usage patterns of customers, historic weather data of the location, the current demand and supply details. The grid will operate on the data being fetched from the cloud storage. The paper also focuses on smart grid being framed with the renewable energy sources.
Keywords :
Big Data; cloud computing; power engineering computing; smart power grids; supply and demand; big-data analytics; cloud storage; cloud-based architecture; cloud-based smart grid; customer needs; electric grid; historic weather data; power usage pattern; renewable energy sources; supply and demand; Cloud computing; Clouds; Computer architecture; Data handling; Data storage systems; Information management; Smart grids; Big Data Analytics; Cassandra; Cloud Computing; Hadoop; Hive; Renewable Energy; Smart Grid;
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
Conference_Location :
Enathi
Print_ISBN :
978-1-4799-1594-1
DOI :
10.1109/ICCIC.2013.6724168
