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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18755
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dc.contributor.authorDua, Amit-
dc.date.accessioned2025-04-23T11:00:10Z-
dc.date.available2025-04-23T11:00:10Z-
dc.date.issued2016-
dc.identifier.urihttps://ieeexplore.ieee.org/document/7386923-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18755-
dc.description.abstractSmart Grid (SG) is envisioned to become one of the leading technologies of the modern era by imparting information, and communication technology to the traditional electric grid. The power, and energy sector faces challenges to meet the continuously increasing demand of power. However, this is constrained by the limited fuel resources, as well as the threats faced by the global climate. To maximize the utility of SG in the present scenario, it can be integrated with Distributed Energy Resources (DERs). DERs, which include Renewable Energy (RE) sources, and Electric Vehicles (EVs), provide an optimal solution to the power, and energy problems faced by the world today. This paper proposes a green energy system, consisting of DERs, a Central Energy Management System (CEMS), and a Seasonal Thermal Energy Storage (STES) system. The STES system employs waste heat, and solar thermal energy to provide a clean solution to heating, and cooling demands of the community. The CEMS monitors, and regulates the flow of electrical, and thermal energy in the proposed system. The CEMS proposed in this paper is based on fuzzy rough set theory. The prime objective of this scheme is to implement a real-time green energy management system in SG environment to make a balance between demand, and supply.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectComputer Scienceen_US
dc.subjectSpace heatingen_US
dc.subjectBuildingsen_US
dc.subjectThermal energyen_US
dc.subjectEnergy managementen_US
dc.subjectGreen productsen_US
dc.titleA novel central energy management system for smart grid integrated with renewable energy and electric vehiclesen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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