A demand-side load event detection algorithm based on wide-deep neural networks and randomized sparse backpropagation

• المؤلفون الرئيسيون: Li, Chen, Liang, Gaoqi, Zhao, Huan, Chen, Guo
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Index Terms-Event Detection; Event Classification
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/160521

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...