Abstract: Systems, methods, and other embodiments associated with identifying non-technical line loss using data from smart meters in an electric grid are described. In one embodiment, a method includes querying a utility database to collect meter data, wherein the meter data is from electric meters connected to a transformer in an electric grid. Querying the utility database includes collecting the data according to a plurality of intervals over a period of time. Electric consumption and voltage variances are analyzed for the set of meters to identify a first set of intervals that satisfy a threshold for electric consumption and to identify a second set of intervals that satisfy a threshold for voltage variances. The first set of intervals is compared with the second set of intervals to determine whether the set of meters are associated with non-technical line loss.

Abstract: In an embodiment, the methods and systems disclosed herein utilize a cloud-based service to receive data relating to freight shipping on behalf of a supplying entity by one or more shipping entities. In an embodiment, a computer system determines utilization data for the shipping entity corresponding to a first distinct time period and a second distinct time period. In an embodiment, a computer system determines data relating to differences in utilization data between the first and second distinct time periods. In an embodiment, the computer system displays a graphical visual representation of the differences in utilization data.

Abstract: Systems, methods, and other embodiments associated with identifying non-technical line loss using data from smart meters in an electric grid are described. In one embodiment, a method includes querying a utility database to collect meter data, wherein the meter data is from electric meters connected to a transformer in an electric grid. Querying the utility database includes collecting the data according to a plurality of intervals over a period of time. Electric consumption and voltage variances are analyzed for the set of meters to identify a first set of intervals that satisfy a threshold for electric consumption and to identify a second set of intervals that satisfy a threshold for voltage variances. The first set of intervals is compared with the second set of intervals to determine whether the set of meters are associated with non-technical line loss.

Abstract: Disclosed is a method and a system for allocating energistic loss and/or emissions resulting from transportation of cargo comprising determining shipment emissions and disaggregating the shipment emissions to provide the emissions resulting from each shipped product.

Abstract: Systems, methods, and other embodiments associated with identifying mismappings of electric meters using voltage data are described. In one embodiment, a method includes selecting an electric meter from a plurality of electric meters represented in a connectivity model. The connectivity model is an electronic data structure that specifies information about connections between the plurality of electric meters and transformers in an electric distribution grid. The example method may also include analyzing mismapping metrics that characterize voltage data about the selected electric meter in relation to a set of electric meters that are geographically related to the selected electric meter to determine whether the connectivity model includes a mismapping of the selected electric meter.

Abstract: Systems, methods, and other embodiments associated with identifying non-technical line loss using data from smart meters in an electric grid are described. In one embodiment, a method includes querying a utility database to collect meter data, wherein the meter data is from electric meters connected to a transformer in an electric grid. Querying the utility database includes collecting the data according to a plurality of intervals over a period of time. Electric consumption and voltage variances are analyzed for the set of meters to identify a first set of intervals that satisfy a threshold for electric consumption and to identify a second set of intervals that satisfy a threshold for voltage variances. The first set of intervals is compared with the second set of intervals to determine whether the set of meters are associated with non-technical line loss.

Abstract: Systems, methods, and other embodiments associated with identifying mismappings of electric meters using voltage data are described. In one embodiment, a method includes selecting an electric meter from a plurality of electric meters represented in a connectivity model. The connectivity model is an electronic data structure that specifies information about connections between the plurality of electric meters and transformers in an electric distribution grid. The example method may also include analyzing mismapping metrics that characterize voltage data about the selected electric meter in relation to a set of electric meters that are geographically related to the selected electric meter to determine whether the connectivity model includes a mismapping of the selected electric meter.

Abstract: Systems, methods, and other embodiments associated with identifying non-technical line loss using data from smart meters in an electric grid are described. In one embodiment, a method includes querying a utility database to collect meter data, wherein the meter data is from electric meters connected to a transformer in an electric grid. Querying the utility database includes collecting the data according to a plurality of intervals over a period of time. Electric consumption and voltage variances are analyzed for the set of meters to identify a first set of intervals that satisfy a threshold for electric consumption and to identify a second set of intervals that satisfy a threshold for voltage variances. The first set of intervals is compared with the second set of intervals to determine whether the set of meters are associated with non-technical line loss.