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In this work, we introduced a time-disordered tolerated power profiling model for smart grid consumers,
It uses DTW algorithm to profile a consumer¡¯s power consumption behaviour and analyzes the load data provided by smart meters,
Two load type profiles are defined for workdays and weekends, namely WoLP and WeLP,
The evaluation showed that DTW clustering based on workday load patterns has a better result,
This solution can be extended for power profiling several consumers based on their different appliances¡¯ power consumption data time series,
For future, we plan to add daily load factor to each load profile to enhance the clustering accuracy,
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IEEE/ICACT20230034 Slide.18
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