An Image Based Approach of Energy Signal Disaggregation Using Artificial Intelligence

Author:

Senarathna Manuri,Herath Madhawa,Thilakanayake Thakshila D.,Liyanage Migara H.,Angammana Chitral J.

Publisher

IEEE

Reference20 articles.

1. An Event-Driven Convolutional Neural Architecture for Non-Intrusive Load Monitoring of Residential Appliance

2. A new approach for supervised power disaggregation by using a deep recurrent LSTM network

3. Classification of Time-Series Images Using Deep Convolutional Neural Networks;hatami;Tenth International Conference on Machine Vision,2018

4. Imaging Time-Series to Improve Classification and Imputation;wang;Twenty-Fourth International Joint Conference on Artificial Intelligence,2015

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1. Demand response potential evaluation based on feature fusion with expert knowledge and multi‐image;IET Smart Grid;2024-08-02

2. An Image-Based Disaggregation Study of Time Series Energy Data Using Gramian Angular Field;2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC);2023-12-06

3. Non-Intrusive Load Monitoring by Load Trajectory and Multi-Feature Based on DCNN;IEEE Transactions on Industrial Informatics;2023-10

4. A Learnable Image-Based Load Signature Construction Approach in NILM for Appliances Identification;IEEE Transactions on Smart Grid;2023-09

5. Area Under Time Series Transformation for Home Appliance Classification;2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob);2023-06-21

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