Big Data Anonymization Method for Demand Response Services

A demand response services as smart grid application produces and requires large amount of information about electric power consumption. This data can be regarded as big data and is needed to be anonymized for preserving privacy and reducing the amount. Electric power consumption data must be used carefully because it contains private information. The proposed method can convert data to existence probabilities by considering anonymity. In addition, the proposed method can anonymize data according to a required degree of anonymity. An evaluation of demand response services using data anonymized by the proposed method was performed, and the results show that the error rate of the demand and supply balance was smaller than the required level. Keywords—Anonymization method, Demand response, Privacy Preserving, k-member clustering