Abstract: Systems, methods, and other embodiments are disclosed for validating measured meter data. In one embodiment, a graphical user interface is provided that facilitates configuration of a validation algorithm by a user. Historical usage data is accessed during a non-peak time to offload processing from a peak time. The non-peak time corresponds to a time span when the measured meter data is not being received and/or is not being validated, and the peak time corresponds to a different time span when the measured meter data is being validated. Statistical data is generated from the historical usage data during the non-peak time and stored in a memory. The measured meter data is received and the statistical data is accessed during the peak time. The measured meter data is validated by applying the validation algorithm to the statistical data and the measured meter data during the peak time.

Abstract: Systems, methods, and other embodiments are disclosed for validating measured meter data. In one embodiment, a graphical user interface is provided that facilitates configuration of a validation algorithm by a user. Historical usage data is accessed during a non-peak time to offload processing from a peak time. The non-peak time corresponds to a time span when the measured meter data is not being received and/or is not being validated, and the peak time corresponds to a different time span when the measured meter data is being validated. Statistical data is generated from the historical usage data during the non-peak time and stored in a memory. The measured meter data is received and the statistical data is accessed during the peak time. The measured meter data is validated by applying the validation algorithm to the statistical data and the measured meter data during the peak time.

Abstract: Systems, methods, and other embodiments are disclosed for validating measured meter data. In one embodiment, a graphical user interface is provided that facilitates configuration of a validation algorithm by a user. Historical usage data is accessed during a non-peak time to offload processing from a peak time. The non-peak time corresponds to a time span when the measured meter data is not being received and validated, and the peak time corresponds to a different time span when the measured meter data is being received and validated. Statistical data is generated from the historical usage data during the non-peak time and stored in a memory. The measured meter data is received and the statistical data is accessed during the peak time. The measured meter data is validated by applying the validation algorithm to the statistical data and the measured meter data during the peak time.

Abstract: Systems, methods, and other embodiments are disclosed for managing utility usage data in the event of a utility outage. In one embodiment, measured meter data is read representing utility usage data collected from multiple meters within a zone of a utility system and processed to identify valid and invalid usage data of the measured meter data. An estimation process is performed on the measured meter data to generate corrected meter data for the multiple meters. The corrected meter data is aggregated over a time span to generate an aggregate percentage value specifying a total percentage of data received for the time span. The aggregate percentage value is compared to a threshold value to detect a utility outage. The estimation process is suppressed for the multiple meters when the aggregate percentage value is below the threshold value, indicating a utility outage.

Abstract: Systems, methods, and other embodiments are disclosed for validating measured meter data. In one embodiment, a graphical user interface is provided that facilitates configuration of a validation algorithm by a user. Historical usage data is accessed during a non-peak time to offload processing from a peak time. The non-peak time corresponds to a time span when the measured meter data is not being received and validated, and the peak time corresponds to a different time span when the measured meter data is being received and validated. Statistical data is generated from the historical usage data during the non-peak time and stored in a memory. The measured meter data is received and the statistical data is accessed during the peak time. The measured meter data is validated by applying the validation algorithm to the statistical data and the measured meter data during the peak time.