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How data centers can learn to turn off and help the grid By Jason Plautz | 08/19/2025 06:36 AM EDT Using less electricity as a response to high demand had been a nonstarter for big tech companies.
AI technology is essential for the energy sector to optimize power grids in the wake of the data center boom to maintain stability and efficiency.
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When the government can see everything: How one company – Palantir – is mapping the nation’s data
Government agencies are contracting with Palantir to correlate disparate pieces of data, promising efficiency but raising ...
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Tech Xplore on MSNGrid modeling approaches to bridge the gap between transmission and distribution
Fifteen years ago, planning for a new substation upgrade barely considered how distributed energy resources (DERs) might ...
The benefits are clear: improved reliability, faster emergency response, safer operations, and lower overall costs. This isn’t just a better way to analyze data—it’s a smarter way to build and operate ...
Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time data at the edge.
A power substation near a data center in Manassas, Virginia. (Bloomberg) --Data centers looking to connect to the largest US grid must bring their power supply, the system’s independent watchdog said.
In this episode of Energy Insiders, data centre expert Andrew Walton explains what data centres need, where they might be built, and what will power them.
Parrella also pointed to the recently-passed Senate Bill 6, a first-of-its-kind Texas law that would give ERCOT the ability to shut down data centers when electricity demand on the grid threatens ...
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Tech Xplore on MSNResearchers develop a next-generation graph-relational database system
For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...
Texas' data center boom is testing the power grid with increased demand, impacting jobs and GDP, but also presenting growth opportunities.
Data centers, now consuming 5% of U.S. electricity, could more than double their power demand by 2030 amid AI and cloud expansion.
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