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This thesis addresses the Non-Intrusive Load Monitoring (NILM) problem, focusing on the disaggregation of electrical consumption in large buildings using high-frequency current and voltage measurements. It presents a novel algorithm called Independent-Variation Matrix Factorization (IVMF) designed to improve the accuracy of NILM, particularly in commercial and industrial settings. The research also contributes to the field by generating synthetic datasets to enhance the understanding and application of NILM

Author

Wael Melki

Language

EN