ThinkLabs AI, Inc.’s Post

Great article ThinkLabs AI, Inc. did with AI Business on how #AI can help utilities simplify grid operations, reducing outages and accelerating energy transition.

Grid management is an extremely complex problem. Grid operators need to balance demand with supply at all times. Addressing these types of issues is possible with AI. It'll be even more exciting when agentic AI solutions can be used to manage energy distribution on the grid autonomously! #agenticai #ai #agents #energy #grid #machinelearning #ml #generativeai

Amid (justifiable) hype around the profound impact AI data centers will have on electricity demand, this is a welcomed closer look at more we can do with the infastructure we have. The promise of advanced reconductoring and grid enhancing technologies deserves to share center stage in the debate over how to prepare the grid for a future we’re all committed to.  National Grid and National Grid Partners are investing in these technologies and deploying them to benefit our customers in the US and UK. More to come! #energy #cleanenergy

It's not just about physical grid upgrades. Smart meters, data sharing, and real-time insights could unlock a more dynamic, distributed grid. Connectivity becomes the conductor by harmonising the energy orchestra. AI could then be the secret weapon for efficiency. Optimising grid management, predicting outages, and personalising energy use are just a few possibilities. Can we harness the power of connectivity to build a resilient, adaptable grid that thrives? #ConnectivityRevolution #SmartGrids #AIforEnergyDemocracy #PoweringtheFutureTogether https://lnkd.in/eDFqJrA4

AI is driving massive innovation, but its energy demands are skyrocketing. By 2029, data centers could use 12% of U.S. electricity. How do we power the future sustainably? 🌍💡 https://buff.ly/3WcHzLz #ArtificialIntelligence #EnergyEfficiency #Sustainability #TechLeadership

The article outlines the challenges U.S. utilities are facing as power demand rises rapidly. Factors such as the growth in electric vehicle , AI, and industrial electrification are increasing strain on the grid. https://lnkd.in/eHsCuaSh

The current state of the electric grid is strained, with trillions of aging components — many dating back to the 1960s and 1970s — struggling to meet modern energy demands. As these overtaxed systems near their limits, the challenge of identifying which parts need attention first becomes critical. Predictive AI offers a solution by assessing vulnerabilities and optimizing maintenance efforts to prevent failures and extend the grid’s lifespan. While this technology shows promise in enhancing grid resilience, it raises an important question: could predictive AI play a key role in shaping the future of infrastructure management? https://hubs.la/Q02SXBYr0 #newtechnology #power #powergrid #electric #electricgrid #renewable #energy #energygrid #grid #gridtechnology #technology

In this blog, Current± explores the strain that data centres facilitating AI put on the UK's electricity grid. #energytransition

The power grid is getting increasingly complex. The good news? Automation can help! NREL is working on projects that are using AI and microgrid technology to optimize energy use and ensure fair access to clean power. Click here to learn more: https://heyor.ca/HNwNth #CleanEnergy #RenewableEnergy #NREL

While much more T&D will need to be deployed in order to meet growing electric load, that utility CapEx will be increasingly borne by LIDAC customers as wealthier customers reduce load via DER and efficiency investments. The single best way to improve affordability for ratepayers is to provide the same energy services with the least amount of incremental T&D and the most advanced grid orchestration. Utility partnerships with AI and ML technology companies have started to squeeze more out of this growing infrastructure, but some AI solutions are window-dressing while others are transformational. Utilities must conduct a clear-eyed assessment of existing and burgeoning technologies, focusing primarily on those that address the biggest cost centers of the utility in coming decades, starting with the CapEx associated with the >100,000 miles of T&D that will need to be installed in coming years for a true net zero transition. AI can widen the path toward that future. And where solutions don’t exist today, utilities have a timely opportunity to partner with technology companies to co-develop those solutions. https://lnkd.in/gu4-mb2K