The feature extraction method of genetic algorithm can improve the efficiency of load identification and computational time under multiple operations. After ...

Back propagation artificial neural network (BP-ANN) classifier is adopted in the load identification process and in combination with electromagnetic ...

... Feature extraction of non-intrusive load-monitoring system using genetic algorithm in smart meters. In: IEEE 8th International Conference on e-Business ...

This paper proposes an NILM algorithm based on V–I trajectory features. The approach to extracting trajectory and quantizing trajectory features is given.

Mar 11, 2024 · This paper delivers an in-depth review of NILM, highlighting its critical role in smart homes and smart grids.

This paper proposes a concept of non-intrusive load monitoring system for smart meter to monitor the situation of loads. In this study, the user can clearly ...

The transient features extraction technique achieves lower accuracy as compared to the other features-based technique.

May 11, 2024 · Another study employed genetic algorithm (GA) for feature extraction and feature selection, where DT and multilayer perceptron (MLP) methods ...

Apr 18, 2023 · This paper proposes a recognition method based on feature fusion and matrix heat maps, using VI traces, phase and amplitude of odd harmonics, and fundamental ...

Feature Extraction of Non-intrusive Load-Monitoring System Using Genetic Algorithm in Smart Meters. Published by Institute of Electrical and Electronics ...