LARGE SCALE DATA GATHERING FOR GRID CONTROL BACKGROUND OF THE INVENTION

Systems and methods use a scalable cloud computing platform combined with an AI-based grid control process to facilitate collection of data from a large number of DERs. The data is organized into multiple time series with different resolutions required for grid control. A hierarchical tree structure facilitates efficient data aggregation and control signal generation, enhancing the system's capacity to manage at least 100,000 edge devices, theoretically scaling up to millions of edge devices. Embodiments optimize data collection by allowing minor delays, improving the overall efficiency and resource utilization of the system.