Intelligently control and actively synchronize energy edge devices with each other and the grid to optimally satisfy demand and increase grid reliability and device longevity.
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, 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.
Veritone Controller uses AI-based energy forecasting and supply optimization techniques to intelligently control and actively synchronize energy edge devices with each other and the grid to optimally satisfy demand and increase grid reliability and device longevity.
Reliably dispatch energy between DER devices even during abrupt demand spikes, ensuring proper voltage, frequency and phase matching at all times. Devices can perform autonomous decision making to meet local demand as well as broader microgrid demand as conditions change. Device controllers are dynamically synchronized with each other and the grid in real time to optimize power quality and distribution.
Hamiltonian-based device models utilize real-time model state updates for each device, with adaptive learning applied to these models as the device state changes with grid conditions.
Controller uses hard, soft and absolute rules to provide optimal performance under required constraints. Rules include device parameters, pricing, transmission protocols, industry regulations such as NERC/FERC, and utility and network rules.
Controller synchronization algorithms ensure dispatched power matches grid parameters (voltage, frequency, wave form), by continuously synchronizing each device under control with one another and the grid.
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
In this episode, we discuss the rise of Autonomous Microgrid Technology and how AI will help utilities optimize energy grids. Microgrids are localized power generation systems in which distributed energy resources and the utility network work in concert to provide reliable electricity to a specific community.
We talk with Sean McEvoy, Senior VP of Energy Solutions here at Veritone about Using AI to Improve Energy and Utilities Operations
