A demand-side load event detection algorithm based on wide-deep neural networks and randomized sparse backpropagation
Event detection is an important application in demand-side management. Precise event detection algorithms can improve the accuracy of non-intrusive load monitoring (NILM) and energy disaggregation models. Existing event detection algorithms can be divided into four categories: rule-based, statistics...
Main Authors: | Li, Chen, Liang, Gaoqi, Zhao, Huan, Chen, Guo |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/160521 |
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