Corporation Energy Grid Global Resource 
Green Car Congress
JUNE 28, 2011
These vehicles will be studied to help evolve all-electric vehicle technology and to establish a foundation of understanding on utility grid needs by modeling impact of future all-electric vehicle growth on the shared energy grid. —Keshav Sondhi, manager of Asset Management for FedEx Express Global Vehicles.
Cars That Think
APRIL 15, 2024
Generative AI investment skyrockets While corporate investment was down overall last year, investment in generative AI went through the roof. Since training these models typically requires vast resources, Industry now makes most of them, with academia only putting out a few.
The Truth About Cars
SEPTEMBER 14, 2023
The scheme could be one way of addressing concerns that modern power grids couldn’t endure widespread electric vehicle usage while helping to position the involved companies in an industry that’s being heavily incentivized by the government. The companies are hoping to sell the concept as a way to help “decarbonize” the energy grid.
Green Car Congress
FEBRUARY 8, 2019
The 8 BREAKERS projects will work to develop new direct current (DC) devices to better manage power by eliminating electrical faults, improving efficiency and reaction times, and potentially enabling greater proliferation of energy storage and renewable resources. Eaton Corporation, DC Wide Bandgap Static Circuit Breaker – $3,760,000.
Driivz
MAY 31, 2022
The smart EV charging platform recognizes the driver, initiates the session with the optimum energy utilization, monitors the battery charge in the vehicle, concludes the session when the vehicle is charged, and bills the driver based on their agreed-upon terms. . Implementing USEF enables large-scale deployment of smart energy grids.
Cars That Think
OCTOBER 4, 2021
In the study, the researchers examined how radiation predictions made with DeepMC can be used to predict energy generation on a commercial solar farm, but Kumar says he can also imagine the model being used more generally by energy grids to predict how much energy people will use.
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