Veritone Forecaster - Real-time energy prediction

Benefits of Forecaster

Battery Providers

Aggregate and dispatch stored solar power for both industrial and residential operators during peak load times, increasing grid reliability and reducing costs.
Equipment Providers

Intelligently control edge devices for proper voltage and frequency and grid matching, dynamically adapting to demand changes for optimal power distribution.
Independent Operators

ISOs (Independent System Operators), DSOs (Distributer System Operators), LSEs (Load Services Entities) and EMS providers (Energy Management System) - aggregate, buy and sell green energy on energy exchanges based on real-time intelligent predictions of smart grid energy needs.
Utility Companies

Use real time weather, demand and device data to predict and optimize energy supply mix for maximum profitability and ideal grid utilization.

Energy Forecasting for a Changing Industry

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.

Forecast energy needs and prices in real time

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.

Capabilities

Multi-variable models

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.
Optimized price forecasting

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.
Auto-retraining and adaptation

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.
Complex, Real Time Decision Making

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.

What Users Say

Veritone's predictive AI technology brings much-needed optimization and efficiency to the energy grid, helping reduce energy consumption and provide greater stability. Veritone's ability to leverage massive amounts of historical and real-time data to effectively balance energy supply and demand, with automated synchronization of grid assets for maximum reliability, is a real game changer in the energy industry.

John Zangardi

President of Redhorse Corporation,

a leading U.S. government services provider
The power of Veritone’s cutting edge AI solutions allows utilities to rapidly integrate new sources of energy with the confidence of knowing their infrastructure is optimized for cost, reliability, and longevity.

Larry Cochrane

CTO

Microsoft Azure Energy