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Energies 2018, 11(12), 3500; https://doi.org/10.3390/en11123500

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

1
Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan
2
Department of Computer Science, Information Technology University, Lahore 54000, Pakistan
3
College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
4
Federal Urdu University of Arts, Science and Technology, Islamabad 44000, Pakistan
*
Author to whom correspondence should be addressed.
Received: 14 October 2018 / Revised: 10 December 2018 / Accepted: 11 December 2018 / Published: 14 December 2018
(This article belongs to the Special Issue Building Renewable Energy and Thermal Energy Storage System 2018)
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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. View Full-Text
Keywords: renewable energy integration; home energy management; demand side management; fog computing; artificial neural network; weather forecasting renewable energy integration; home energy management; demand side management; fog computing; artificial neural network; weather forecasting
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Khalid, A.; Aslam, S.; Aurangzeb, K.; Haider, S.I.; Ashraf, M.; Javaid, N. An Efficient Energy Management Approach Using Fog-as-a-Service for Sharing Economy in a Smart Grid. Energies 2018, 11, 3500.

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