Benefits of Controller
Storage ProvidersAggregate and dispatch stored solar power for both industrial and residential operators during peak load times, increasing grid reliability and reducing costs.
Equipment ProvidersControl edge devices for proper voltage and frequency and grid matching, dynamically adapting to demand changes for optimal power distribution.
Independent OperatorsISOs (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 utility grid energy needs.
Energy Device Control for a Changing Industry
Description: 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, near-real-time energy device control, helping you deliver the right type and amount of clean energy to the right device, at the right time and the right price.
Intelligently control the dispatch of energy to devices
Veritone Controller uses AI-based energy demand forecasting and supply optimization techniques to intelligently control and optimize the flow of energy to devices for greater reliability and lower energy cost.
Reliably dispatch energy between edge devices even during abrupt demand spikes, ensuring proper voltage and frequency and grid matching at all times. Controllers are synchronized with each other and the grid in real time to optimize power quality and distribution.
Predictive Device Control
Leverages energy demand forecasting and supply optimization to intelligently control and optimize the performance of energy devices on the grid
Real Time Status Updates and Learning
Device models utilize real-time model state updates for each device, and adaptive learning as the device state changes
Controller uses hard, soft and absolute rules to provide optimal performance under required constraints. Rules include device parameters, pricing, transmission protocols, and industry regulations such as NERC/FERC, utility and network rules.
Controller synchronization algorithms ensure dispatched power matches grid parameters (voltage, frequency, wave form), by synchronizing each device under control with one another and the grid.
Complex, Near-Real Time Decision Making
Veritone’s patented Cooperative Distributed Inference (CDI) technology performs complex, near-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
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.