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dc.contributor.author SUPERVISOR DR. TAOSIF IQBAL, NS MUHAMMAD UMAR FAROOQ PC ALEESHA MUBEEN
dc.date.accessioned 2024-07-04T05:39:23Z
dc.date.available 2024-07-04T05:39:23Z
dc.date.issued 2024
dc.identifier.other DE-COMP-42
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/44511
dc.description Supervisor DR. TAOSIF IQBAL en_US
dc.description.abstract Compared to the typical solar inverter, the AI based solar inverter shows an optimal solar inverter response in accordance with the real time weather condition present. By integrating weather-related parameters from APIs, it forecasts solar irradiance up to two hours ahead, enabling precise adjustments to load derivation and battery charging parameters. This innovative system ensures the optimality of the solution and the reliability of the processes involved maximizing the energy production and storage potential as per the dynamic weather patterns. Through the practical and easy to use mobile application, the users can keep in touch with the data measured in real time or the performance of the solar system in detail, which give them full understanding and control over their global solar energy systems. can be characterized as an important progress among concepts of sustainable energy management, it is characterized as a smart and more efficient way to use power of the Sun en_US
dc.language.iso en en_US
dc.publisher College of Electrical & Mechanical Engineering (CEME), NUST en_US
dc.title Ai Based Solar Inverter en_US
dc.type Project Report en_US


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