Monitoring time‐varying residential load operation modes: an efficient signal disaggregation approach-Reference-Cited by-同舟云学术

Monitoring time‐varying residential load operation modes: an efficient signal disaggregation approach

Published:2018-07-19 Issue:1 Volume:14 Page:85-96
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Zhu Li¹,Zhou Changle¹,Qu Zhaoyang²,Li Junhua³

Affiliation:

1. Department of Cognitive Science, School of Information Science and EngineeringXiamen University Xiamen 361005 China

2. School of Information EngineeringNortheast Electric Power University Jilin 132012 China

3. Singapore Institute for Neurotechnology (SINAPSE)National University of Singapore Singapore 117456 Singapore

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.22767

Reference40 articles.

1. Appliance Commitment for Household Load Scheduling

2. Household Electricity Demand Forecast Based on Context Information and User Daily Schedule Analysis From Meter Data

3. Bottom-up Markov Chain Monte Carlo approach for scenario based residential load modelling with publicly available data

4. AndersonKD. Non‐intrusive load monitoring: disaggregation of energy by unsupervised power consumption clustering. Dissertations: Carnegie Mellon University 2014.

5. Discrete wavelet transform optimal parameters estimation for arc fault detection in low-voltage residential power networks

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