Group-Based Electric Vehicle Charging Optimization Systems and Methods

A method for enhanced EV energy management, comprising:

• collecting high-frequency home energy monitoring system data;
• integrating Advanced Metering Infrastructure (AMI) data, transformer details, and external variables;
• utilizing the high-frequency home energy monitoring system data to group multiple electric vehicles under single or multiple meters, ensuring cumulative charging does not exceed set limits;
• forecasting and managing loads based on integrated data, ensuring adherence to grid constraints and rated capacities;
• accessing real-time dynamic pricing data through third-party service integration;
• and
• integrating real-time data from utility or Independent System Operators (ISO) to optimize load forecasting and grid limitations.

A system for providing active demand management, comprising:

• a processor;
• and
• a memory coupled to the processor, the memory for storing instructions executable by the processor to perform a method comprising:
• determining one or more conditions necessary to compute a rule set;
• determining a current state of one or more devices;
• receiving user inputs and overrides, if any, via the one or more devices;
• when one or more devices comprise one or more electrical vehicles (EVs), calculating energy delivered to the one or more EVs;
• determining both a forecasted demand and a demand threshold, based on the rule set, the current state of each of the one or more devices, the user inputs and overrides, and the energy already delivered to the one or more EVs,
• when the forecasted demand is greater than the demand threshold, generating a plan to power off the one or more networked devices one by one, in an order from least important device to most important device, until the forecasted demand no longer exceeds the demand threshold;
• and
• delivering energy-related device commands for the one or more devices, based on the generated plan.