The evolving grid poses a big data challenge. Our powerful PREDICT tool turns this challenge into an opportunity by organizing the data and preparing the ground for meaningful insights and predictions. With PREDICT, customers can support ever-changing portfolios in the absence of past data – using historical data recovery.
Geared towards the distributed grid era and working with many different prediction verticals and environments, PREDICT provides detailed consumption forecasts, along with renewable energy generation and energy price predictions – instantly, accurately, and in an easy plug-and-play format.
PREDICT is extremely flexible and supports both short-term and long-term forecasts in any level of granularity for different smart-meter portfolios, all within the same system. It can apply both top-down and bottom-up forecasting methods.
Our A.I. agent’s comprehension of the distributed grid allows it to optimize the energy flowing behind the meter by managing demand-side consumption, renewable production, and storage.
Thousands of decisions such as when to store, when to consume, when to pull energy from the grid, and when to push into the grid are automatically processed in order to optimize the energy flow with one clear goal – maximizing value for the customer.
By understanding the entire grid as well as each consumer, the system allows to create optimized smart tariffs, offer optimized PV and battery systems to consumers, and plan an entire microgrid energy resource structure.
Once ENERGY A.I. is deployed, the third layer - TRADE - can be activated to allow executing smart Peer-to-Grid or Peer-to-Peer energy trading.
TRADE allows users to trade their excess energy in a fully autonomous way. The self directed trading agent has access to consumption, production, and price forecasts and ensures maximal revenues for assets owners.
Trading decisions can be executed in both traditional markets by integrating into energy retailers’ price scheme or in a fully P2P manner through Blockchain technology.