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This paper presents a case study of residential consumer from the urban area and suggests methods to make anenergy self-reliant house for the reduction in electricity bill. Unlike developed countries, India has to explore the use of renewable sources and other means to reduce the energy cost due to non-availability of real time pricing for LT consumers. Depending on the tariff offered by different...
In this paper, we propose a supply and demand management system based on information on the power consumption pattern analysis and the tariff for HEMS(Home Energy Management System) of KEPCO(Korea Electric Power COrporation) for cost minimization. The scheduler of a supply and demand management system decides the curtailment level for the dropped appliances based on information about the predicted...
A smart power grid transforms the traditional electric grid into a user centric, intelligent power network. This paper addresses the cost optimization problem in the smart grid from the users' perspective. A home owner can install diverse energy generators and storage devices to reduce the dependency on external energy sources. The widespread utilization of green energy sources creates uncertainty...
Wireless sensor networks (WSNs) will play a key role in the extension of the smart grid towards residential premises, and enable various demand and energy management applications. Efficient demand-supply balance and reducing electricity expenses and carbon emissions will be the immediate benefits of these applications. In this paper, we evaluate the performance of an in-home energy management (iHEM)...
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