Patterns of temporal variation in online media
Proceedings of the fourth ACM international conference on Web search and data mining
Watts in the basket?: Energy Analysis of a Retail Chain
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
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Existing electricity market segmentation analysis techniques only make use of limited consumption statistics (usually averages and variances). In this paper we use power demand distributions (PDDs) obtained from fine-grain smart meter data to perform market segmentation based on distributional clustering. We apply this approach to mining 8 months of readings from about 1000 US Google employees.