首页>
外国专利>
Non-Intrusive Load Monitoring Using Machine Learning
Non-Intrusive Load Monitoring Using Machine Learning
展开▼
机译：使用机器学习的非侵入式负载监控
展开▼
页面导航
摘要
著录项
相似文献
摘要
Embodiments implement non-intrusive load monitoring using machine learning. A trained convolutional neural network (CNN) can be stored, where the CNN includes a plurality of layers, and the CNN is trained to predict disaggregated target device energy usage data from within source location energy usage data based on training data including labeled energy usage data from a plurality of source locations. Input data can be received including energy usage data at a source location over a period of time. Disaggregated target device energy usage can be predicted, using the trained CNN, based on the input data.
展开▼
