Publication:
Smart grid and application of big data: Opportunities and challenges

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dc.citedby1
dc.contributor.authorMohanty A.en_US
dc.contributor.authorRamasamy A.K.en_US
dc.contributor.authorVerayiah R.en_US
dc.contributor.authorBastia S.en_US
dc.contributor.authorSwaroop Dash S.en_US
dc.contributor.authorSoudagar M.E.M.en_US
dc.contributor.authorYunus Khan T.M.en_US
dc.contributor.authorCuce E.en_US
dc.contributor.authorid55521129800en_US
dc.contributor.authorid16023154400en_US
dc.contributor.authorid26431682500en_US
dc.contributor.authorid57216693816en_US
dc.contributor.authorid59303733800en_US
dc.contributor.authorid57194384501en_US
dc.contributor.authorid57455192700en_US
dc.contributor.authorid47560946200en_US
dc.date.accessioned2025-03-03T07:41:40Z
dc.date.available2025-03-03T07:41:40Z
dc.date.issued2024
dc.description.abstractThe rapid technological advancements in the electrical energy sector are generating a significant volume of data that profoundly influences the operations of system operators, grid users, and GENCOs. In this context, Big Data emerges as a valuable tool for state estimation, addressing control issues, facilitating forecasting, and enhancing the involvement of various market agents and players in the energy sector. Intelligent or smart devices, utilizing information and communication technologies, oversee and manage equipment across the entire energy generation to utilization spectrum. To earn the distinction of being ?intelligent or smart,? substantial data exchange occurs between grid instruments and project or business entities. This exchange of information, tailored to consumption and application needs, facilitates cost-effective optimized bidirectional power flow between power plants and end-use customers. For the effective control, monitoring, and coordination of smart appliances within a smart grid subsystem; the exchange of data is indispensable. Energy companies, however, confront challenges in efficiently managing vast amounts of data. The optimal and apt implementation of smart-grid big data analytics becomes imperative to successfully navigate and address these challenges. This work sheds light on the execution and utilization of BDA (Big Data Analysis) in the smart grid. The advantages, challenges, and consequences of implementing these techniques; and strategies for the computation and transmission of data are proposed here. ? 2024 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo104011
dc.identifier.doi10.1016/j.seta.2024.104011
dc.identifier.scopus2-s2.0-85205439012
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85205439012&doi=10.1016%2fj.seta.2024.104011&partnerID=40&md5=28748f5d0f71a9e85d4c0615d89ee24b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36242
dc.identifier.volume71
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleSustainable Energy Technologies and Assessments
dc.subjectControl issues
dc.subjectDemand response
dc.subjectElectrical energy
dc.subjectEnergy sector
dc.subjectGrid users
dc.subjectMarket players
dc.subjectSmart applications
dc.subjectSmart grid
dc.subjectSystem operator
dc.subjectTechnological advancement
dc.subjectdata set
dc.subjectdemand analysis
dc.subjectelectricity supply
dc.subjectsmart grid
dc.titleSmart grid and application of big data: Opportunities and challengesen_US
dc.typeReviewen_US
dspace.entity.typePublication
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