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  3. Faculty Council of Engineering & Technology
  4. 2025 (Awarded Year)
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/9654
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dc.contributor.advisorSil, Arindam Kumar, guide-
dc.contributor.authorGanguly, Ayandeep-
dc.date.accessioned2026-04-01T09:09:38Z-
dc.date.available2026-04-01T09:09:38Z-
dc.date.issued2025-
dc.date.submitted2025-
dc.identifier.otherTC4352-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/9654-
dc.descriptionSupervisor(s): Sil, Arindam Kumar (Dept. of Electrical Engineering, J.U.); Awarded year: 2025en_US
dc.format.extentxx, 125 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectDemand managementen_US
dc.subjectRegional load demand managementen_US
dc.subjectRegional load forecastingen_US
dc.subjectRenewable resource allocationen_US
dc.subjectArtificial Intelligenceen_US
dc.titleLoad monitoring, forecasting and management system for peak load reduction and renewable energy integrationen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Electrical Engineeringen_US
Appears in Collections:2025 (Awarded Year)

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PhD Thesis (Electrical Engineering) Ayandeep Ganguly.pdf10.56 MBAdobe PDFView/Open
Abstract Ayandeep Ganguly.pdf67.9 kBAdobe PDFView/Open
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