As a response to the continuous rise of the global demand for energy, AutoGrid has developped Energy Data Platform EDP, a cloud-based platform that provides the capability to predict, optimize and control millions of distributed energy resources in real-time and at scale. The employed technologies include predictive analytics, behavioral algorithms and a physics-based understanding of the grid to give utilities and energy service providers the ability to predict, optimize and control power distribution and consumption in their service territories in real-time. Autogrid’s Energy Data Platform is built upon software engines that pull together existing tangible resources to provide a unified management system that continuously optimizes the balance of power flow.
EDP includes Software Defined Power™, a software that allows utilities and new energy providers to integrate intermittent renewables like wind and solar on a large scale into their operations and introduce new technologies like energy storage or EV charging quickly and economically. The end result is lower capital costs, reduced greenhouse gas emissions and an unprecedented ability to fine-tune operations to achieve regulatory and customer satisfaction goals.
In addition, the EDP provides the core data models, machine-to-machine interfaces, and connectors to enterprise and 3rd party data-sources along with powerful machine learning, artificial intelligence, big data, network optimization, and high-performance computation algorithms that enable energy providers to build and optimize next-generation energy networks.
EDP creates a living model of the Energy Internet by simultaneously modeling both the physics of the network and the variability due to human behavior and weather dependency of renewable generation sources. The foundation of the Energy Data Platform is a unified data model of the Energy Internet that takes into account the behavioral characteristics of the customer-owned “grid-edge” assets connected to it.