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Please use this identifier to cite or link to this item: http://192.168.9.248:8080/jspui/handle/123456789/796
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dc.contributor.authorMalik, Hasmat ed.-
dc.contributor.authorMishra, Sukumar ed.-
dc.contributor.authorSood, Y. R. ed.-
dc.contributor.authorIqbal, Atif ed.-
dc.contributor.authorUstun, Taha Selim ed.-
dc.date.accessioned2024-01-16T10:06:11Z-
dc.date.available2024-01-16T10:06:11Z-
dc.date.issued2024-
dc.identifier.isbn978-981-99-6748-3-
dc.identifier.urihttp://192.168.9.248:8080/jspui/handle/123456789/796-
dc.descriptionChapter 12. Comparative Study on Solar PV Module Performance with Sun Irradiance Trapping Mechanism: Power Generation Forecasting Using Machine Learning by Rupendra Kumar Pachauri, Ashutosh Shukla, Ahmad Faiz Minai, Aryadhara Pradhan, Vinay Gupta, Mohit Kumar, and Shashikanten_US
dc.language.isoenen_US
dc.publisherSpringer Nature Singapore Pte Ltd.en_US
dc.subjectElectrical Engineeringen_US
dc.subjectRenewable Energyen_US
dc.titleRenewable Power for Sustainable Growthen_US
dc.typeBook chapteren_US
Appears in Collections:Books/Book Chapters/Edited Books

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