Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15289
Full metadata record
DC FieldValueLanguage
dc.contributor.authorUmar, Buhari Ugbede-
dc.contributor.authorNuhu, Bello Kontagora-
dc.contributor.authorOlaoluwa, M. Alao-
dc.date.accessioned2022-12-13T14:16:12Z-
dc.date.available2022-12-13T14:16:12Z-
dc.date.issued2021-12-
dc.identifier.citationUMAR, B. U., NUHU, B. K., & ALAO, O. M. (2021). Development of IoT based smart inverter for energy metering and control.en_US
dc.identifier.issn2587-3474-
dc.identifier.issn2587-3482-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/15289-
dc.description.abstractInsufficient power generation has facilitated the search for alternative power generation, as the world is gradually making the transition to renewable green energy sources as a replacement for fossil fuels and other conventional power generation methods that causes environmental pollution. One of these methods is the use of solar energy for electricity generation through the use of the photovoltaic solar inverter which harnesses the power from the sun to generate electricity. The inability of electricity distributors to provide enough and sustainable power supply for homes and businesses, coupled with the need to live a smart life has made humans sort for an easier control method of electricity generation and usage. Hence, this research presents a smart voice and mobile application control modular inverter integrated with a smart metered energy distribution system, which equally distributes power amongst the users for effective and smart energy usage. A test of applied load on the inverter as compared to normal electricity usage deduced an 8% error rate giving a 92% accuracy for the inverter. The mobile app was tested for both online and offline usage and a 67% accuracy was deduced as the overall accuracy of the software. This gives an inference that the system can be fully operated by a user in the luxury of their comfort. For smart meter monitoring and energy allocation, 93.33% and 96.8% accuracy and precision were achieved respectively. This research makes the usage of green energy more efficient with its feature which allows for equal distribution of energy. The system also helps prevent energy theft or misuse by providing only the proper user with alerts and administrative control.en_US
dc.language.isoenen_US
dc.publisherJournal of Engineering Scienceen_US
dc.subjectSmart Energy Meter, Voice Automation, Smart Switching, IoT.en_US
dc.titleDEVELOPMENT OF IoT BASED SMART INVERTER FOR ENERGY METERING AND CONTROLen_US
dc.typeArticleen_US
Appears in Collections:Computer Engineering

Files in This Item:
File Description SizeFormat 
2021 DEVELOPMENT OF IoT BASED SMART INVERTER FOR ENERGY METERING AND.pdf1.27 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.