Deep Domain Adaptation for Non-Intrusive Load Monitoring Based on a Knowledge Transfer Learning Network

IEEE Transactions on Smart Grid(2022)

引用 23|浏览15
暂无评分
摘要
Understanding customers’ energy consumption at the individual appliances level is crucial for the planning and implementation of demand response (DR) programs. The appliances’ usage profiles can be disaggregated from whole-house energy consumption data using non-intrusive load monitoring (NILM) methods. The appliance load patterns of each customer are considerably different, which make it challeng...
更多
查看译文
关键词
Hidden Markov models,Data models,Feature extraction,Energy consumption,Load modeling,Home appliances,Adaptation models
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要