| CPC G06F 16/248 (2019.01) | 20 Claims |
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1. A method comprising:
receiving a selection of a portion of a first utility visualization, the portion being associated with a subset of utility data;
determining, based at least in part on the selection, a plurality of additional utility visualizations associated with the subset of the utility data;
determining, from among the plurality of additional utility visualizations, one or more previously used utility visualizations;
determining, from among the one or more previously used utility visualizations, one or more candidate utility visualizations that are associated with a type of utility event, wherein the candidate utility visualizations are determined by:
filtering the utility data to locate one or more data elements including one or more measurements, exceptions, or events, relevant with respect to identification of the type of utility event,
comparing the one or more data elements, by a pattern module, to one or more known patterns of measurements, known exceptions, or known events that are associated with the type of utility event;
determining a problem of interest associated with the type of utility event; and
determining, from among the one or more previously used utility visualizations, the one or more candidate utility visualizations that are associated with the problem of interest;
receiving a selection of at least a second utility visualization, from among a ranked list of the one or more candidate utility visualizations; and
outputting information associated with the second utility visualization.
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