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...

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Bibliographic Details
Main Authors: Li, Chen, Liang, Gaoqi, Zhao, Huan, Chen, Guo
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/160521
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Institution: Nanyang Technological University
Language: English