PNNL

Artificial Intelligence and Machine Learning Applications in Modern Power Systems

Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls

POWER QUALITY DISTURBANCES DIAGNOSIS: A 2D DENSELY CONNECTED CONVOLUTIONAL NETWORK FRAMEWORK

Projected Increases in Tropical Cyclone-induced U.S. Electric Power Outage Risk

Developing a Disaster-Ready Power Grid Agent Through Geophysically-Informed Fault Event Scenarios

Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation

SNNPG: Using Spiking Neural Networks to Detect Attacks in the Power Grid

PNNL Powers Biotechnology, Grid Operations, Nuclear Science Through Genesis AI for Science Mission

PNNL is central to the Genesis Mission, leading and participating in projects central to the nation’s security and international competitiveness.

Early Exploration of a Flexible Framework for Efficient Quantum Linear Solvers in Power Systems

Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control