Modernize the Grid Faster, Together.

This challenge focuses on identifying and prioritizing dry undeveloped land areas that are most susceptible to ignition. Effective risk segmentation is needed for better resource allocation in wildfire mitigation efforts.

The challenge focuses on enhancing protection-setting analytics to strike a balance between reducing ignition energy and maintaining reliable service. It aims to prevent wildfires while minimizing adverse customer impacts.

Improved high-resolution wildfire weather forecasting is crucial for making informed circuit-level fire-risk decisions, particularly before dangerous wind events. This capability will significantly enhance operational safety and reliability.

The challenge involves developing a scalable quality assurance process for drone inspections to effectively validate AI-assisted damage detection outputs while avoiding bottlenecks in manual reviews. Achieving this will enhance trust and efficiency in inspection processes.

This challenge focuses on the need for a condition-based approach to vegetation patrols rather than a schedule-based one. By employing data modeling, we can prioritize areas with the highest risk of fall-in and encroachment.

The challenge focuses on developing strategies for transitioning thermal generation assets without compromising reliability. It emphasizes the need for flexible asset management amidst changing energy policies and market conditions.

The challenge focuses on improving seasonal reliability analytics and increasing the availability of flexible capacity. This is essential to adapt to the changing resource characteristics and growing demand.

As large-load customers drive significant increases in load growth and capital expansion, residential rates are at risk of rising faster than anticipated. Addressing this challenge requires effective tariff design and affordability analytics.

This challenge focuses on enhancing the identification of medically vulnerable customers and critical facilities. By establishing a verified dataset, we aim to support their energy needs during PSPS events.