World Journal of Engineering Research and Technology

Aminu Yusuf Inuwa, Isiyaku Abubakar*, Sadiq Ibrahim Shu’aibu, Nasiru B. Kadandani and Fatima D. Sani

ABSTRACT

Effective energy cost management and load optimization are pivotal challenges in the 21st century. The intricate nature of electrical loads, coupled with the limitations of existing methods, have fuelled significant research interest in non-intrusive load monitoring (NILM) systems of high accuracy and efficiency. In this study, we proposed an innovative approach for NILM based on Euclidean difference. By meticulously matching real time measurement of load events with predefined dataset connected loads were accurately identified usingProteus software simulations. The system was implemented with Arduino micro-controller and featured liquid crystal display (LCD) for load dis-aggregation feedback. Remarkably, the algorithm achieved 98% accuracy by enhancing load pattern identification and precisely dis-aggregating loads. This research not only optimizes energy consumption but also leads to substantial cost savings for consumers while alleviating strain on the power grid. By harnessing the power of Euclidean difference, we bridge the gap between accurate load dis-aggregation and practical implementation, offering a promising avenue for future advancements in energy efficiency.

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