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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
C. Neumeyer, R. Woolley
Fusion Science and Technology | Volume 39 | Number 2 | March 2001 | Pages 422-428
Advanced Designs | doi.org/10.13182/FST01-A11963272
Articles are hosted by Taylor and Francis Online.
The FIRE experiment1 will present a net electric power demand approaching 1000MW for 10's of seconds, repeated once every 2 hours, delivered to the load via thyristor AC/DC converters which exhibit a widely varying power factor. The issues associated with the supply of such a load from the utility grid can be divided into two categories:
▪transmission line power flow vs. capacity▪voltage deviation within the grid vs. limits▪frequency deviation within the grid vs. limits▪loading of electrical equipment (e.g. generators)▪control of power generation (e.g. steam turbines)
transmission line power flow vs. capacity
voltage deviation within the grid vs. limits
frequency deviation within the grid vs. limits
loading of electrical equipment (e.g. generators)
control of power generation (e.g. steam turbines)
▪control and monitoring of grid power flow▪coordination of protection systems▪repetitive cycling of power system equipment▪allowance for contingency on tie line power flows▪power flow reversal▪harmonic content of load▪power and energy monitoring, billing rate structure
control and monitoring of grid power flow
coordination of protection systems
repetitive cycling of power system equipment
allowance for contingency on tie line power flows
power flow reversal
harmonic content of load
power and energy monitoring, billing rate structure