Non-Intrusive Load Classification and Recognition Using Soft-Voting Ensemble Learning Algorithm With Decision Tree, K-Nearest Neighbor Algorithm and Multilayer Perceptron-Reference-Cited by-同舟云学术

Non-Intrusive Load Classification and Recognition Using Soft-Voting Ensemble Learning Algorithm With Decision Tree, K-Nearest Neighbor Algorithm and Multilayer Perceptron

Published:2023 Issue: Volume:11 Page:94506-94520
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yang Nien-Che¹^ORCID,Sung Ke-Lin¹

Affiliation:

1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

Funder

National Science and Technology Council (NSTC), Taiwan

Delta Electronics (DELTA)–National Taiwan University of Science of Technology (NTUST) Joint Research Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10238467.pdf?arnumber=10238467

Reference37 articles.

1. Wavelet feature vectors for neural network based harmonics load recognition

2. Appliance classification using VI trajectories and convolutional neural networks

3. Real-Time Recognition and Profiling of Appliances through a Single Electricity Sensor

4. On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring

5. Non-intrusive Load Disaggregation Based on Deep Learning and Multi-feature Fusion

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An adaptive and reliable protection scheme for critical fault detection in IEC microgrid considering dissimilar AC faults and weather-based random scenarios;Electrical Engineering;2024-04-12

2. Comparative Analysis of Machine Learning Techniques for Non-Intrusive Load Monitoring;Electronics;2024-04-09

3. An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm;IET Smart Cities;2024-01-24

4. A Review of NILM Applications with Machine Learning Approaches;Computers, Materials & Continua;2024