Features Mining and Machine Learning for Home Appliance Identification by Processing Smart meter Data-Reference-Cited by-同舟云学术

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Features Mining and Machine Learning for Home Appliance Identification by Processing Smart meter Data

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)
language:
Short-container-title:

Author:

Talib Rabab Al¹,Qaisar Saeed Mian²,Fatayerji Hala¹,Waqar Asad³

Affiliation:

1. Effat University,Electrical and Computer Engineering Department,Jeddah,Saudi Arabia,22332

2. LINEACT Laboratory, CESI Engineering School,Villeurbanne,France,69100

3. Bahria School of Engineering & Applied Sciences Islamabad Campus,Department of Electrical Engineering,Islamabad,Pakistan,44000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10084917/10084937/10085074.pdf?arnumber=10085074

Reference23 articles.

1. No free lunch theorems for optimization

2. Optimizing Production Manufacturing Using Reinforcement Learning;mahadevan;FLAIRS Conference,1998

3. Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare

4. ACS-F2 — A new database of appliance consumption signatures

5. Wall-Following Robot Navigation Data Data Set;Machine Learing Repository,0

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