IEEE/ICACT20230034 Slide.15        [Big Slide]       [YouTube] Oral Presentation
To evaluate our power profiling model, we analyze the time-disordered power usage data and identify the corresponding power load type, Daily acquired power usage data of two sequent months is extracted from AMPd2, These days totally include 61 days, namely 44 workdays and 17 weekends, both Saturdays and Sundays, For each day, the similarities between its power data sequence and both power load patterns sets are measured by DTW, Depends on the measured distance, a power profile (e.g., WoLP or WeLP) is assigned,

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