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This paper presents a Modified Cross-Entropy (MCE) method for classifying appliance states in Non-Intrusive Load Monitoring (NILM) systems, addressing the challenge of low sampling rates and the need for real-time operation without complex hardware. The proposed algorithm formulates the NILM problem as a constrained optimization problem, utilizing a penalty method to enhance performance and accommodate appliances with multiple states. Experimental results using the REDD and AMPds datasets demonstrate the ef

Author

venmathi0706

Language

EN