Global Energy Management

A method to perform Global Energy Management, comprising:

• creating at an intelligent energy profile manager software module a first intelligent energy profile of a first collection of one or more intelligent distributed energy resources (IDERs) based at least on configuration metadata of the first collection of IDERS and telemetry from the first collection of IDERS, wherein the first intelligent energy profile contains a set of statistically significant information sufficient to predict future energy utilization for the first collection of IDERs;
• creating at an intelligent energy profile manager software module a second intelligent energy profile of a second collection of one or more IDERs based at least on configuration metadata of the second collection of IDERS and telemetry from the second collection of IDERS, wherein the second intelligent energy profile contains a set of statistically significant information sufficient to predict future energy utilization for the second collection of IDERs;
• at a predictive energy manager software module, predicting via a first predictive algorithm against the generated first intelligent energy profile and the generated second intelligent energy profile, a first potential future state of the combined first collection of IDERs and second collection of IDERs;
• and
• generating at least one recommendation via a recommendation engine software module the recommendation comprising an optimization technique contributing to an improvement over the first potential future state.

One or more computer-readable storage media collectively having thereon computer-executable instructions that, when executed, collectively cause one or more computers to, at least:

• create at an intelligent energy profile manager software module an intelligent energy profile of a collection of one or more intelligent distributed energy resources (IDERs) based at least on configuration metadata of the collection of IDERS and telemetry from the collection of IDERS, wherein the intelligent energy profile contains a set of statistically significant information sufficient to predict future energy utilization for the collection of IDERs;
• at a predictive energy manager software module, predict via a first predictive algorithm against the generated intelligent energy profile, a first potential future state of the collection of IDERs;
• generate at least one recommendation via a recommendation engine software module the recommendation comprising a first optimization technique contributing to an improvement over the first potential future state
• receive at the intelligent energy profile manager a change in the configuration of the collection of IDERs;
• at the intelligent energy profile manager modify the intelligent energy profile based on the received change;
• responsive to the change in the intelligent energy profile, at the predictive energy manager, predict via a second predictive algorithm against the modified intelligent energy profile, a second potential future state of the collection of IDERs;
• and
• generate at least one recommendation via the recommendation engine the recommendation comprising a second optimization technique contributing to an improvement over the second potential future state.