Trained models for discovering target device presence

A system for generating machine learning predictions to discover target device energy usage, the system comprising:

• a processor;
• and
• a memory storing instructions for execution by the processor, the instructions configuring the processor to:
• store one or more trained machine learning models configured to discover target device energy usage from source location energy usage;
• receive, for a given source location, multiple instances of source location energy usage over a period of time, wherein the multiple instances correspond to windows of time that span the period of time;
• generate, using the trained machine learning model, multiple discovery predictions for the received instances of source location energy usage, each of the discovery predictions comprising a prediction about a presence of target device energy usage within the instances of source location energy usage over each of the windows of time;
• and
• generate, by combining the multiple discovery predictions, an overall prediction about a presence of target device energy usage within the given source location's energy usage over the period of time, wherein the overall prediction is used to perform energy grid demand planning, the energy grid being controlled at least in part based on the demand planning.

A non-transitory computer readable medium having instructions stored thereon that, when executed by a processor, cause the processor to generate machine learning predictions to discover target device energy usage, wherein, when executed, the instructions cause the processor to:

• store one or more trained machine learning models configured to discover target device energy usage from source location energy usage;
• receive, for a given source location, multiple instances of source location energy usage over a period of time, wherein the multiple instances correspond to windows of time that span the period of time;
• generate, using the trained machine learning model, multiple discovery predictions for the received instances of source location energy usage, each of the discovery predictions comprising a prediction about a presence of target device energy usage within the instances of source location energy usage over each of the windows of time;
• and
• generate, by combining the multiple discovery predictions, an overall prediction about a presence of target device energy usage within the given source location's energy usage over the period of time, wherein the overall prediction is used to perform energy grid demand planning, the energy grid being controlled at least in part based on the demand planning.