DocumentCode :
3753692
Title :
Cloud-Based Optimal Energy Forecasting for Enabling Green Smart Grid Communication
Author :
Samaresh Bera;Tamoghna Ojha;Sudip Misra;Mohammad S. Obaidat
Author_Institution :
Sch. of Inf. Technol., Indian Inst. of Technol., Kharagpur, Kharagpur, India
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
In a smart grid, micro-grids can exchange energy among themselves in order to provide reliable energy service to customers. Therefore, the micro-grids need to exchange their real-time energy status with other micro-grids, which, in turn, maximizes the energy consumption and CO2 emissions to them. In this paper, we propose a cloud-based energy forecasting scheme to minimize the energy consumption and CO2 emission towards enabling a green smart grid communication technology. Additionally, we device an optimal strategy for the proposed cloud-based energy forecasting scheme to minimize the energy consumption furthermore. Numerical results show the effectiveness of the proposed scheme over without cloud-based approach in terms of message overhead, energy consumption, and CO2 emissions of the micro-grids. We see that the proposed scheme can minimize the energy consumption and the CO2 emissions involved in the forecasting process significantly, which supports the green architecture of the smart grid communication technology. Additionally, the message overhead for energy forecasting can also be minimized.
Keywords :
"Cloud computing","Smart grids","Real-time systems","Forecasting","Supply and demand","Computer architecture","Reliability"
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2015 IEEE
Type :
conf
DOI :
10.1109/GLOCOM.2015.7417591
Filename :
7417591
Link To Document :
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