10/07/2020 | Press release | Distributed by Public on 10/07/2020 18:36
Using AI to Predict Energy Needs and Stabilize the Grid
The US energy grid was originally designed around centralized power generation and regional distribution networks to provide safe, affordable, and reliable electricity to every American. And historically, it has performed this function very well. However, the energy grid of today suffers from a host of limitations:
The Quest for a Greener and More Modern Energy Grid
Because of the above factors, traditional energy generation is becoming more expensive for producers and consumers alike. The environment also pays a price when we power our communities with energy sources that pollute. And these growing concerns have prompted calls to quickly modernize the grid, with special emphasis on 4 key areas:
Why Isn't America's Electricity Grid Already Green?
The move to a more sustainable energy grid is already happening organically. However, this transition isn't without its challenges. For example, adding more solar and wind capacity makes synchronizing voltage and frequency more difficult when trying to incorporate renewables into existing grid infrastructure. And far from making the electricity network more reliable, this patchwork can often result in moreequipment failures, inconsistent energy delivery, and blackouts.
Decentralization and democratization have also proved problematic - making it harder to balance supply and demand against a backdrop of more moving parts (in more locations). In regions of the country that have seen rapid upticks in consumer solar, for example, utilities must increasingly scramble to manage daytime surges in PV production with sudden drop-offs in power generation once the sun goes down.
Using Artificial Intelligence to Make Smarter Energy Decisions
The energy challenges our country faces are very real. Fortunately, it's possible to use artificial intelligence (AI) technology to help streamline the nation's transition to more sustainable forms of electricity. Veritone Energy powered by aiWARE,for example, is a predictive energy solution that uses Hamiltonian data models, rules and machine learning to help utilities, independent operators, and other energy stakeholders overcome many of the challenges and limitations outlined above.
The next several articles in this series will explore the capabilities of the Veritone Energy solution:
Ready to Revolutionize your Energy Business?
Like almost every other aspect of society, America's energy landscape is evolving at an unprecedented speed. And these rapid changes continue to introduce far too much data for any single person to manage. This is especially true given the growing popularity of renewable power sources and on-site storage. However, Veritone's powerful AI solution overcomes these roadblocks:
So be sure to follow the next several installments as we explore how Veritone's suite of AI-powered tools can help you capitalize on the country's changing energy landscape.
In the meantime, contact us todayto discuss how Veritone's dynamic, predictive energy solution can revolutionize your business.