Spotting Power Grid Issues with AI: A New Approach to Anomaly Detection

Researchers are leveraging the power of generative adversarial networks and long short-term memory networks to improve the accuracy and reliability of identifying unusual energy consumption patterns.





![An agent navigating a multiplicative dynamic optimizes wealth by selecting between safe and risky actions, where repetitions in action selection-returning updated wealth to the state-manage non-ergodic contexts, and differing optimization strategies-based on expected values versus growth rates-predict distinct indifference points between the two actions, [latex]p_E[/latex] and [latex]p_T[/latex], respectively.](https://arxiv.org/html/2601.08726v1/figures/GenericMultipleLogistic.png)

