Entries for Digitizing Utilities: Round 2

Energy pricing plan data in machine accessible and ADA compliant format for use in energy analysis and “smart” device applications.

A predictive analytics tool to forecast storm-based outages to aid in making staffing and supply decisions.

Developing a utility specific metrics and data analytics for a decision support tool for proactive climate risk mitigation

The Multi-Source Data Acquisition, Analytics, Sharing, and Security (MIDAAS) technology integrates a suite of algorithms for data analytics.

Fend physically blocks cyberattacks and unlocks trapped data sets from energy assets, legacy equipment, and critical infrastructure.

Technology agnostic back-office for Community Cooperative Utilities operating Virtual Power Plants with Distributed Energy Resources.

We will be planning an implementation of the new LFEnergy specifications for third party registration, connectivity, and data exchange.

Alabama Power Company and E Source are creating an enterprise-wide graph database to accelerate data analytics and improve data quality.

Using a systems-thinking approach, we are streamlining interconnections for DERS by pre-computing and pre-authorizing approvals.

Revolutionizing Outage Management with AI: outage prediction, crew allocation and restoration optimization to reduce outage times

Identification of the most critical threats affecting power systems operations based on AI-tools and power system simulations.

Using ML and GenAI to detect data quality issues in inputs to distribution management systems.

The predictive maintenance solution will provide early indication of failures for assets at the UC Utilities plant before they occur.

Our Mission is to introduce Data Utilization, Cyber Security into the City of West Memphis, West Memphis Electric Utility Company.

This project develops a deep generative graph learning framework to forecast behind-the-meter solar power generation and load.

Qilo and VEC are proposing a real-time data analytics dashboard to evaluate the current and future impact of electrification.