低抽样数据的极限学习能源解析算法
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唐秀明,袁荣湘,陈君
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Extreme Learning Machine for Energy Disaggregation Using Low Sampling Consumption Data
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Tang Xiuming,Yuan Rongxiang,Chen Jun
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Tab.3 Disaggregation results for submetered data
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Houses no. | Train time/s | Performance comparison the rate of change | Test time/s | Performance comparison the rate of change | TP | Performance comparison the rate of change | | SVM | ELM | SVM | ELM | SVM | ELM | | House1 | 0.058 | 0.040 | ↓31.03% | 0.034 | 0.017 | ↓50.00% | 0.9188 | 0.9440 | ↑ 2.74% | | House2 | 0.891 | 0.221 | ↓75.19% | 0.187 | 0.065 | ↓65.24% | 0.9095 | 0.9129 | ↑3.74% |
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