Intelligent Optimization and Forecasting.
The core of our technology superiority involves intelligent forecasting and real-time, multi-service optimization of DER assets. Our advanced machine learning algorithms are used to understand how DER asset capacity and control parameters evolve over time to forecast available capacity in real-time. We use a distributed bidding system to optimize the network and solve grid problems while accounting for individual DER asset model costs and constraints. This constraint model is fundamentally designed to address the need of constraint-based control and optimization. As new opportunities and business models enter the marketplace, the Enbala Engine will provide the necessary flexibility to adapt faster than the competition.