Getting Ahead of the "Data" Storm

Is your T&D and grid data overwhelming you? Join utility analytics experts and other utility professionals at the Utility Analytics Summit in Chicago, April 10-12, 2017 and get the resources you need to take decisive action and achieve sustainable results to deliver the answers your utility needs and move the business forward.

Join us for a number of enlightening sessions, including these two on T&D Operations and Grid Analytics

Session: Getting Ahead of the Storm

Presented by:

• Iliana Rentz, Emergency Preparedness Program Manager, Florida Power & Light Company (FPL)
• Nick Keener, Director of Meteorology, Duke Energy Corporation
• Chad Brady, Management Consultant, Duke Energy Corporation

Optimization of storm management and response depends on advanced analytics. The ability to predict the impact of storms before they occur enables utility companies to enhance preparation, improve grid resilience, and better serve customers during storm events. Using advanced analytics, utilities can obtain a more accurate understanding of crew, materials and equipment requirements. It only takes a couple major events (ice storm, hurricane, etc.) to generate massive outages which negatively impact major financial levers (e.g. total outage duration, crew and material resource needs, mean time to restoration) and customer satisfaction. Most utilities are headed toward weather forecasting that has deep integration with a variety of other data sources (e.g. GIS systems, social media data). In this session, attendees will hear how two utilities are instilling analytical insights into storm management processes, decision making, and applications. Storm management experiences, continuing challenges, and analytics success stories will be shared.

Session: Predictive Analytics for Extracting Insight and Value from the IoT Explosion

Presented by:

• Dr. Natasha Balac, Founder, CEO and President, Data Insight Discovery (DID)

The Internet of Things (IoT) market growth and number of devices connected is increasing at incredible rates. The instant connectivity enabled by IoT is radically changing our interactions with the world by enabling new ways to operate business. The precipitous drop in the cost of sensors is allowing organizations to install a multitude of real time sensors across a variety of asset categories. However, this massive deployment of sensors challenges businesses to derive real, actionable insight and value from the collected data. Predictive analytic approaches are a powerful tool for risk management in a data rich environment.

DID has developed an innovative asset management approach that is enabling efficient use of sensor data and anomaly detection. We provide a framework to support data-driven planning and decision-making for prioritizing asset management decisions according to organizational needs and priorities.

Session Takeaways:

• Learn about IoT, Big Data and predictive analytics
• Understand the benefits of predictive approaches to condition based maintenance
• How to derive real, actionable insight and value from the collected data
• Enabling efficient use of sensor data and anomaly detection

Register before March 3rd and save $200