AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Climate volatility and rising energy demand have resulted in unprecedented challenges throughout the world. Unfortunately, however, the existing centralized grid infrastructure is no longer capable of ...

We are advancing predictive maintenance using AI and machine-learning tools, expanding asset health monitoring across ...

The global energy grid faces aging infrastructure, rising renewable integration, and decentralization challenges. AI emerges as a vital tool to optimize capacity, predict failures, and enhance ...