NILM Application for Real Time Monitoring of Appliances Energy Consumption Used
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9660827/9660386/09660389.pdf?arnumber=9660389
Reference10 articles.
1. Dynamic time warping based non-intrusive load transient identification
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4. Real-Time Recognition Non-Intrusive Electrical Appliance Monitoring Algorithm for a Residential Building Energy Management System
5. Whole-house Non-Intrusive Appliance Load Monitoring via multi-label classification
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1. An Overview of a New Statistical Non-Intrusive Load Monitoring (NILM) Analysis and Recognition Approach for Domestic Environments: DENARDO;2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv);2024-06-12
2. A Review of NILM Applications with Machine Learning Approaches;Computers, Materials & Continua;2024
3. Energy Disaggregation of Residential House via Event Based Optimization Technique;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05
4. Load Monitoring and Appliance Recognition Using an Inexpensive, Low Frequency, Data-to-Image, Neural Network and Network Mobility Approach for Domestic IoT Systems;IEEE Internet of Things Journal;2023
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