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

doi: 10.3390/en11123500
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.
- Information Technology University Pakistan
- Information Technology University Pakistan
- King Saud University Saudi Arabia
- Federal Urdu University Pakistan
- COMSATS University Islamabad Pakistan
Technology, demand side management, T, renewable energy integration, home energy management, fog computing, weather forecasting, renewable energy integration; home energy management; demand side management; fog computing; artificial neural network; weather forecasting, artificial neural network
Technology, demand side management, T, renewable energy integration, home energy management, fog computing, weather forecasting, renewable energy integration; home energy management; demand side management; fog computing; artificial neural network; weather forecasting, artificial neural network
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).38 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
