Systems and method for distributed energy resources power estimation

A computer-implemented method for predicting performance of electric power generation and delivery systems, the method implemented by a computing device including at least one processor in communication with at least one memory device, wherein the method includes:

• storing, in the at least one memory device, a first plurality of attribute data for a plurality of measured assets attached to a grid;
• storing, in the at least one memory device, a plurality of constraints for matching measured assets to unmeasured assets;
• receiving, by the at least one processor, a second plurality of attribute data for an unmeasured asset attached to the grid;
• comparing, by the at least one processor, the first plurality of attribute data to the second plurality of attribute data and the plurality of constraints associated with the unmeasured asset;
• determining, by the at least one processor, a measured asset of the plurality of measured assets to assign to the unmeasured asset based on the comparison;
• and
• determining, by the at least one processor, a performance forecast for the unmeasured asset based on a power performance of the determined measured asset.

A system for predicting performance of electric power generation and delivery systems comprising a computing device including at least one processor in communication with at least one memory device, wherein the at least one processor is programmed to:

• store a first plurality of attribute data for a plurality of measured assets attached to a grid;
• store a plurality of constraints for matching measured assets to unmeasured assets;
• receive a second plurality of attribute data for a plurality of unmeasured assets attached to the grid;
• compare the first plurality of attribute data to the second plurality of attribute data and a plurality of constraints associated with the plurality of unmeasured assets;
• determine a first plurality of measured assets of the plurality of measured assets to assign to a first plurality of unmeasured asset of the plurality of unmeasured assets based on the comparison;
• and
• determine a plurality of performance forecasts for the first plurality of unmeasured assets based on a power performance of the first plurality of measured assets.