Patterns of Electricity Demand Variation in Smart Grids
نویسندگان
چکیده
The abundance of small and medium sized customers that can curtail demand when needed has resulted in the rollout of Demand Response programs to target the right customers among a diverse population. To tailor such programs based on customers’ consumption patterns, we apply Principal Component Analysis on high resolution demand consumption data. We show that appropriate clustering of customers in the principal components space uncovers meaningful temporal consumption patterns which can be used to identify customers with high probability of yielding measurable returns for energy programs.
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