September 25, 2013IEEE Transactions on Industry Applications

Power-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitoring and Load Identification

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Design

Other

Authors

HCHsueh‐Hsien ChangMinghsin University of Science and Technology KLKuo Lung LianNational Taiwan University of Science and Technology YSYi‐Ching SuZhejiang Chinese Medical University

Discussion

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Implication

Enables efficient nonintrusive load monitoring in constrained systems; leaves open large-scale real-world validation.

Structured PICO

Intervention

Power spectrum of wavelet transform coefficients calculated by Parseval's theorem combined with back-propagation classification system

Outcome

Load event recognition success rate

A power-spectrum-based wavelet transform algorithm effectively reduces computational requirements while maintaining high success rates for nonintrusive load identification.

Cite This Study

Chang et al. (2013) studied this question.

synapsesocial.com/papers/6a0c6d5ce8a76b3043887a50 https://doi.org/10.1109/tia.2013.2283318

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Power-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitoring and Load Identification

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Power-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitoring and Load Identification

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider