TY - ADVS

T1 - Demand Response Applications in Smart Grid Using Data Analytics - Various Facets

AU - Jindal, Anish

AU - Kumar, Neeraj

PY - 2019/4

Y1 - 2019/4

N2 - The focus of this article is on the demand response application aspect of the smart grid by leveraging the data analytics techniques. This would throw light on how these techniques can help in solving the various long-term problems in the smart grid and how the information gained can help the utilities to cut their costs. Smart grid comprises of many entities which are connected to the Internet for transferring the energy-related information, thereby forming a large network of Internet-of-energy. This network can be benefited from various cutting-edge technologies like data analytics to process a large amount of gathered data. The need and impact of performing data analytics on such a network is also described along with the various challenges and constraints that restrict the use of data analytics in the present scenario.

AB - The focus of this article is on the demand response application aspect of the smart grid by leveraging the data analytics techniques. This would throw light on how these techniques can help in solving the various long-term problems in the smart grid and how the information gained can help the utilities to cut their costs. Smart grid comprises of many entities which are connected to the Internet for transferring the energy-related information, thereby forming a large network of Internet-of-energy. This network can be benefited from various cutting-edge technologies like data analytics to process a large amount of gathered data. The need and impact of performing data analytics on such a network is also described along with the various challenges and constraints that restrict the use of data analytics in the present scenario.

M3 - Web publication/site

PB - IEEE

ER -