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This paper explores a new technique of load modeling and estimation on distribution systems. With the emerging AMI technology real-time data about customer loads will be available and hence an estimate of loads on the distribution feeder can be made for system monitoring and control. With this data, a load model predicting the real-time load variations can be made. This paper elaborates the statistical approach used to build such a harmonics-based model with auto-correlated errors (a time series model).