Statistical approaches for cleaning BCTC load data

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Load data refers to the power consumption recorded by meters at certain time intervals at the delivery point level. Load data is one of the most critical data for operation, planning and maintenance power systems, and contains vital information for day-to-day conditions, for evaluating system reliability performance indices, for energy saving, and for system planning and expansion. However, collecting all load data accurately in fine granularity is a challenging and costly task. For many years, British Columbia Transmission Corporation (BCTC) has been trying to address this issue of load data quality. Detecting corrupted or other invalid data is not an easy task because load data is naturally random due to uncertainty in the power consumption behaviors, outage events and dynamism of customers. The difficulty is compounded by the requirement of preserving the original patterns in the load data while removing invalid data and noises, instead of artificially making up the missed or corrupted data.