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BILL PREDICTION AND POWER FACTOR MEASURING WITH SMS ALERT Case study: LIBREVILLE (GABON)

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dc.contributor.author Stingger Dohrveen, KONGA
dc.date.accessioned 2024-12-05T09:54:52Z
dc.date.available 2024-12-05T09:54:52Z
dc.date.issued 2024-10
dc.identifier.uri http://hdl.handle.net/123456789/208
dc.description.abstract Energy is the driving force that runs the world. The current influence of energy is growing faster, and people are finding different ways to explore this energy. IoT is popular nowadays. The importance of the Internet of Things in the current energy management system can be explained by a practical example. This converts to IoT in general terms of energy management systems and then converts energy prediction and power factor monitoring. The power factor measurement system is used to monitor the consumed power factor, and the energy bill is a prediction of the cost amount used. Personalized energy bill prediction provides real-time energy bill predictions for us. This system can support a new approach to energy conservation, which uses real-time data and analysis to guide decisions about energy use. Different time frames can be selected depending on one’s personal characteristics. en_US
dc.subject Bill Prediction, en_US
dc.title BILL PREDICTION AND POWER FACTOR MEASURING WITH SMS ALERT Case study: LIBREVILLE (GABON) en_US
dc.type Thesis en_US


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