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The new operations center for Minnesota public power utility ALP Utilities is nearing completion and in a Q&A with the American Public Power Association, Ted Cash, General Manager for ALP Utilities, discussed the key benefits that the new Operations Center will provide to ALP Utilities and its customers.
U.S. Department of Energy Secretary Chris Wright recently announced the release of the fifth loan disbursement to Holtec to help fund the restart of the Palisades Nuclear Plant in Michigan.
As Phoenix, Ariz., set new records for the hottest August day, Arizona public power utility Salt River Project, too, delivered a record-breaking amount of energy to its customers, SRP reported on Aug. 8.
Fitch Ratings has assigned an “A+” rating to various Long Island Power Authority bonds.
University of Missouri researchers are using a type of artificial intelligence to revolutionize how large campuses manage energy use, the university noted in late July.
B2U Storage Solutions, a provider of large-scale repurposed battery energy storage systems, has started construction on its third grid storage facility and first in the state of Texas.
Joule Capital Partners, Caterpillar Inc. and Wheeler Machinery Co. on Aug. 7 announced an agreement to power Joule’s High Performance Compute Data Center Campus in Utah.
The U.S. District Court in Eugene has granted the Eugene Water and Electric Board's motion to dismiss a lawsuit brought under the Endangered Species Act pertaining to fish passage at EWEB’s Trail Bridge Dam.
The public power city of Ames, Iowa, recently received a Silver designation from the national Charging Smart program for achieving policies that facilitate the expansion of electric vehicles and EV charging infrastructure. Ames is the first community in Iowa to earn a Charging Smart designation.
The rapid advancement of artificial intelligence, particularly the training of large-scale models that are used to power many of today’s widely used applications, is driving renewed growth in electricity demand, the Electric Power Research Institute said in releasing a new report with Epoch AI that forecasts that training a leading model could require more than 4 gigawatts of power by 2030.