You are viewing 1 of 2 articles without an email address.


All our articles are free to read, but complete your details for free access to full site!

Already a Member?
Login Join us now

Predictive AI tools aim to help utilities make transition to green energy

By applying advanced models, rules and learning to weather forecast, energy demand, pricing, and device data, Veritone Energy helps utilities automatically predict the optimal energy supply mix.

LinkedInTwitterFacebook
Two-way power flow between legacy and renewable devices can cause black-outs
Two-way power flow between legacy and renewable devices can cause black-outs

A suite of predictive artificial intelligence (AI) solutions aims to help utilities improve grid reliability as they make the transition to renewables, as well as increase profitability.

 

They have been developed by Veritone, creator of what it claims is the world’s first operating system for AI, aiWare, which has announced its entry into the energy sector.

 

Private and public sector partners

 

Veritone Energy has already begun to deploy its AI energy technologies with a leading US utility and said it is in advanced talks with other potential private and public sector customers and partners.

 

Its patented and proprietary solutions use AI to optimise energy distribution across diverse energy grids. By applying advanced models, rules and learning to weather forecast, energy demand, pricing, and device data, the solutions help utilities automatically predict optimal energy supply mix and pricing to meet grid demand, in real-time.

 

Veritone claims the technology enables the utility to more accurately predict how much energy, at what price, to send to which device, and when. It estimates this real-time forecasting capability will translate to millions of dollars of cost-savings for utilities in saved energy, device longevity, and optimal energy prices.

 

“Every year, over $750bn is invested in global electricity generation and distribution projects, giving Veritone Energy a significant opportunity to showcase how our cutting-edge, predictive AI technology can help the world reduce its dependence on fossil fuels,” said Chad Steelberg, chairman and CEO of Veritone.

 

In a statement, Veritone highlighted how two-way power flow between legacy and renewable devices can cause network congestion, inconsistent energy delivery and black-outs and said the need for synchronisation and optimisation to enable utilities to add renewable sources has never been greater.

“Veritone’s predictive AI technology brings much-needed optimisation and efficiency to the energy grid, helping reduce energy consumption and provide greater stability”

“The green energy boom is impossible without digital innovation,” said Steelberg. “Hamstrung by legacy infrastructure and challenged by electrical grids that are becoming more distributed and complex, the energy sector urgently needs AI to make clean energy production more predictable, reliable and cost-effective.”

 

Weather and energy demand are constantly changing, creating significant challenges for utility companies and equipment providers that need to deliver energy from a wide variety of old and new energy sources consistently and profitably. Day-ahead forecasting of always-changing weather is not enough.

 

“Unlike other predictive energy solution providers that use the past to predict the future, Veritone’s patented CDI technology predicts the future using the present. Veritone combines current data from multiple sources – weather sensors, load demand systems and distributed grid devices – to predict optimal energy dispatch, allowing utilities to accurately and dynamically meet future grid demand, whether minutes, hours or days ahead,” added Veritone chief energy scientist Dr Wolf Kohn.

 

He continued: “Our active device synchronisation technology ensures safe and reliable operation of distributed energy resources with the grid on a constant basis, rather than relying on historical feedback loops that may not accurately reflect the present state.

 

“We do this with patented, Hamiltonian-based models and machine learning that occurs both centrally and at the device level. This approach enables distributed, autonomous edge device decisions using low-cost processors that can be more cost effectively deployed on-premise, via Internet of Things devices or in the cloud.”

 

Operating system

 

With a proprietary operating system for AI and more than 20 issued and pending patents covering its aiWare-based energy technology, Veritone’s customisable solutions can be applied to solve a wide range of challenges facing the industry, including solar smoothing, demand response, micro-grid synchronisation, intelligent device control, voltage optimisation, regulatory compliance, dispatch optimisation and high-speed energy arbitrage.

 

Veritone Energy’s solutions include:

  • Forecaster: to accurately detect and predict energy supply, demand and price
  • Optimiser: to make AI-based energy supply determinations
  • Controller: for predictive device control and active synchronisation, combining energy sources to optimally satisfy demand
  • Arbitrage: for buying, selling and dispatching energy.

“Veritone’s predictive AI technology brings much-needed optimisation and efficiency to the energy grid, helping reduce energy consumption and provide greater stability," said John Zangardi, president of Redhorse Corporation, a US government services provider.

 

"Veritone’s ability to leverage massive amounts of historical and real-time data to effectively balance energy supply and demand, with automated synchronisation of grid assets for maximum reliability, is a real game changer in the energy industry.”

 

You might also like:

LinkedInTwitterFacebook
Add New Comment
You must be a member if you wish to add a comment - why not join for free - it takes just 60 seconds!