Tune in to a Webcast that will explore how you can use analytics and data management software to create a predictive view of AMI and smart metering data.

Background

Just as the advent of the Internet represented a new dawn in personal connectivity and communication, the potential benefits associated with the smart grid infrastructure, including smart metering and demand response mechanisms, are staggering.

Consider just a few: improved power grid reliability, efficiency and safety; reduced carbon dioxide emissions; and two-way communications with consumers who can benefit from better pricing options.

For utilities executives, however, the challenge is finding the best way to use the huge volumes of smart grid data at their disposal.

Learning objectives

Hear a panel of industry experts discuss the most effective ways to integrate, store, manage and analyze AMI and smart metering data. They will explain how to make sure the information you use to make decisions is not only consistent, accurate and timely, but also predictive.

Learn how you can use quality analytics to look for patterns in grid data, find anomalies, anticipate possible problems and create more accurate forecasts for load balancing, demand planning, supply optimization and predictive maintenance.

By watching this Webcast, you will learn how to:

• Manage large volumes of meter data with proven data management techniques.
• Provide data security and audit trails.
• Build interactive data delivery portals.
• Unlock the information inside data with quality analytics.

Featured presenters

• Lee Harrison - President, Convergent Thinking Incorporated
• Derek Gibbs – Chief Technical Architect, SmartSynch
• Brian Crow - Utilities Industry Manager, SAS