An Efficient Energy Management Approach Using Fog-as-a-Service for Sharing Economy in a Smart Grid

Adia Khalid, Sheraz Aslam, Khursheed Aurangzeb, Syed Irtaza Haider, Mahmood Ashraf and Nadeem Javaid
Additional contact information
Adia Khalid: Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan
Sheraz Aslam: Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan
Khursheed Aurangzeb: College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
Syed Irtaza Haider: College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
Mahmood Ashraf: Federal Urdu University of Arts, Science and Technology, Islamabad 44000, Pakistan
Nadeem Javaid: Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan

Energies, 2018, vol. 11, issue 12, 1-17

Abstract: An unprecedented opportunity is presented by smart grid technologies to shift the energy industry into the new era of availability, reliability and efficiency that will contribute to our economic and environmental health. Renewable energy sources play a significant role in making environments greener and generating electricity at a cheaper cost. The cloud/fog computing also contributes to tackling the computationally intensive tasks in a smart grid. This work proposes an energy efficient approach to solve the energy management problem in the fog based environment. We consider a small community that consists of multiple smart homes. A microgrid is installed at each residence for electricity generation. Moreover, it is connected with the fog server to share and store information. Smart energy consumers are able to share the details of excess energy with each other through the fog server. The proposed approach is validated through simulations in terms of cost and imported electricity alleviation.

Keywords: renewable energy integration; home energy management; demand side management; fog computing; artificial neural network; weather forecasting (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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