The Integrated Systems Manager is the system load prediction algorithms and smart energy resource management software which will be developed and consists of the following:
The development of a dynamic machine-learning load prediction algorithm
The algorithm will utilize weather data, system data, and other information to predict the Utility’s electricity load (monthly/daily peak load, and monthly/daily energy).
The development of a resource roster and scheduling software
This will be used to allocate and dispatch all the connected Smart Energy Resources. The software will ensure that each resource will be individually optimized while considering the unique and dynamic value proposition of each distributed energy resource.