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Papers by Lance Bryan Salvador

International Journal of Electrical and Electronic Engineering & Telecommunications

Home energy management starts with a monitoring system for the user to become aware of how much e... more Home energy management starts with a monitoring system for the user to become aware of how much energy he/she consumes over a period of time and a controlling system that maximizes energy efficiency. There are two methods of load monitoring used in analyzing loads in residential installations and one of them is Intrusive Load Monitoring (ILM). This study was aimed to create an energy management system focusing on individual load monitoring of household appliances through ILM implementation. Wireless network technology was also utilized for data transmission and access, using Raspberry Pi 3B+ and SenseTecnic cloud host. The notification feature of the system, done through a cloud-based communication platform Twilio, is 100% successful in performing its function. Energy consumption behavior model equations for specific types of appliance loads were generated using regression analysis. All equations have relatively good fit, with R squared of 85%-94%, and low standard error, except for the equation representing the variable load with sporadic consumption pattern. Nonetheless, there is 99% confidence in the accuracy of the energy consumption behavior. On the other hand, electric consumption of the entire smart meter costs PHP34.051 only for a month of operation. This only suggests that the system will not significantly contribute to the entire household electric energy consumption cost.  Index Terms-Energy consumption behavior model, forecasting, intrusive load monitoring, regression analysis, predicted consumption I. INTRODUCTION Energy management usually consists of monitoring and controlling of energy in order to conserve it. It is one of the solutions to reduce the consumption of energy immediately and directly. It develops more due to the need for conservation of energy. Energy management is commonly applied to larger buildings such as industrial and commercial buildings, but recently, it started to be used in homes. Monitoring the energy consumption and collecting the data, analyzing the meter data to find the opportunity to reduce the energy waste, implementing the target opportunity to save energy and tracking if there is some progress in energy saving efforts are common steps in Manuscript

International Journal of Electrical and Electronic Engineering & Telecommunications