Monitor weather, demand and device data in real time and accurately forecast energy demand, supply, and price
We are witnessing the decarbonization, democratization, decentralization and digitization of the energy industry, and with it unpredictable and less reliable green energy sources, new forms of energy storage, and energy supply and demand imbalances that impact customer satisfaction and company profitability.
Veritone harnesses the power of AI to revolutionize today’s energy ecosystems through proprietary, intelligent, real-time energy forecasting, helping you deliver the right type and amount of clean energy to the right device, at the right time and the right price.
AI-powered Forecaster generates highly accurate energy demand, supply and price forecasts using historical and real time data modeling of predicted weather, power demand and DER device data.
Forecaster models consider multiple weather, demand and device variables to produce the best performing forecast, then uses that forecast to produce an optimized energy mix and price for the short, medium and long term. These models dynamically adjust to changing climate conditions – for example a heat wave will cause higher air conditioning usage at peak hours – and learns over time to get smarter with its predictions using auto-retraining and adaptation.
Forecast energy demand and supply using AI that takes advantage of multi-variable models that consider cloud density at different elevations, humidity, temperature, wind, load demand, and device operational parameters.
Optimizer uses multiple energy forecast models to dynamically set the right price for that energy, generating long, medium, and short term price and load forecasts based on historical and real-time data.
Automatically learn over time and improve your demand, supply and price forecasting with Optimizer’s auto-retraining and adaption feature, which adjusts to changes in weather, demand, supply, price, and device capacity.
Veritone’s patented Cooperative Distributed Inference (CDI) technology performs complex, real time decision making around forecasting, optimization and device control. CDI is capable of handling vast amounts of heterogeneous and distributed information containing millions of variables and hundreds of thousands of constraints. CDI also learns over time, blending adaptive learning with business rules composition.
Showcasing technology and stories of how Artificial Intelligence is changing the way businesses operate today and prepare for the future.
In this episode, we discuss energy challenges and how AI will help utilities create a more efficient and optimized smart grid.
We talk with Sean McEvoy, Senior VP of Energy Solutions here at Veritone about Using AI to Improve Energy and Utilities Operations
