Portable generator dispatch recommendation engine

A non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• identifying an interruption of a supply of power to a cell site of a cellular communication network;
• estimating an estimated time to restoration (ETR) of the supply of power to the cell site, wherein the estimating is based on a machine-learning model trained according to training data associated with communication technology of the cell site;
• and
• identifying, based on the ETR, an alternate power source for the cell site to provide a new supply of power to the cell site.

A method, comprising:

• identifying, by a processing system including a processor, an indication of an interruption of a supply of power to a cell site of a cellular communication network;
• receiving, by the processing system, an estimated time to restoration (ETR) of the supply of power to the cell site based on a machine learning model trained according to training data;
• and
• determining, by the processing system, a response to the interruption of the supply of power to the cell site, wherein the response is determined based in part on the ETR.