Systems and methods for load management

A method for optimizing resource operations, the method comprising:

• retrieving, by a load data analysis module, historical interval meter data, profile data, and a curtailment plan;
• determining using the historical interval meter data, by the load data analysis module, estimated annual deviation of a customer's load based on average interval load in view of peak load over a given period;
• calculating, by the load data analysis module, a load curtailment for the customer based on the historical interval meter data, the profile data, the curtailment plan, and the estimated annual deviation of the customer's load;
• building a report using the load curtailment, by the load data analysis module, indicating a resource commitment capability for the customer to help inform market participation and operational decision making for load curtailment and distributed energy resources (DER);
• receiving, by the load data analysis module, RT interval meter data from the customer's facility;
• subtracting, by the load data analysis module, an expected curtailment capability of the customer's facility from a contracted curtailment volume from the curtailment plan for that delivery season Guaranteed Load Drop (GLD) for a first value;
• subtracting, by the load data analysis module, the contracted curtailment volume for the delivery season Guaranteed Load Drop (GLD) from the RT interval meter data for a second value;
• subtracting, by the load data analysis module, the expected curtailment capability of the customer's facility from the RT interval meter data for a third value;
• determining, by the load data analysis module, a maximum value from the first value, the second, value, and the third value to identify a performance risk currently exposed for the customer's facility,
• wherein the maximum value indicates a performance risk currently exposed for the customer's facility;
• and
• generating, with a portfolio engine, a commitment plan to be used (1) to optimize the customer's resources and to reduce energy consumption cost as a function of data retrieved by the load data analysis module and (2) to provide information for resource control system to perform control strategies to be implemented by the customer.