Monitoring electrical substation networks

An apparatus, comprising a device to forecast performance for a noninstrumented substation, comprising:

• a storage device comprising a historic database comprising historic data for instrumented substations;
• the storage device comprising a metadata database comprising metadata for the instrumented substations and for noninstrumented substations;
• an unsupervised machine learning manager to generate a cluster of substations by metadata, wherein at least a portion of the substations in the cluster are noninstrumented substations;
• and
• a supervised machine learning manager to generate a forecast for a noninstrumented substation in the cluster from historic data generated from the instrumented substations.

A method for forecasting data for a noninstrumented substation, comprising:

• determining a cluster id for the noninstrumented substation;
• creating a model from historic data for instrumented substations having the cluster id;
• and
• forecasting the data for the noninstrumented substation from the model.

A non-transitory, machine readable medium, comprising instructions, which when executed, direct a processor to:

• obtain metadata for a plurality of substations comprising both instrumented and noninstrumented substations;
• create a cluster of substations based on the metadata;
• obtain historic data for the instrumented substations;
• and
• generate a forecast for a noninstrumented substation.