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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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/160521 |
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機構: | Nanyang Technological University |
語言: | English |