TY - GEN
T1 - Energy Disaggregation from Low Sampling Frequency Measurements Using Multi-Layer Zero Crossing Rate
AU - Schirmer, Pascal
AU - Mporas, Iosif
PY - 2020/5/14
Y1 - 2020/5/14
N2 - Non-Intrusive Load Monitoring aims to disaggregate the energy consumption measurements of a smart-meter from household to device level. Most commercial smart-meters measure at 1 Hz or slightly higher, in order to be able to wirelessly transmit the acquired data to a server for further data analysis. The measured aggregated signal is a low sampling frequency signal, which is prohibitive for spectral analysis based disaggregation. In this article we propose an extension of the zero crossing rate as a time domain measurement of frequency content and compare it to the previously proposed Karhunen Loeve Expansion, in terms of energy disaggregation performance and in terms of computational time. The proposed feature was evaluated on the well-known and widely used REDD database and the experimental results shown that our approach significantly improves the baseline performance and has much lower computational cost than the previously proposed Karhunen Loeve Expansion.
AB - Non-Intrusive Load Monitoring aims to disaggregate the energy consumption measurements of a smart-meter from household to device level. Most commercial smart-meters measure at 1 Hz or slightly higher, in order to be able to wirelessly transmit the acquired data to a server for further data analysis. The measured aggregated signal is a low sampling frequency signal, which is prohibitive for spectral analysis based disaggregation. In this article we propose an extension of the zero crossing rate as a time domain measurement of frequency content and compare it to the previously proposed Karhunen Loeve Expansion, in terms of energy disaggregation performance and in terms of computational time. The proposed feature was evaluated on the well-known and widely used REDD database and the experimental results shown that our approach significantly improves the baseline performance and has much lower computational cost than the previously proposed Karhunen Loeve Expansion.
KW - Energy Disaggregation
KW - Multi-Zero Crossing Rate
KW - Non-Intrusive Load Monitoring (NILM)
UR - https://github.com/pascme05/MLZCR
U2 - 10.1109/ICASSP40776.2020.9054637
DO - 10.1109/ICASSP40776.2020.9054637
M3 - Conference contribution
SN - 9781509066322
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3777
EP - 3781
BT - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -