SOLUTIONS PRODUCTS PUBLIC POWER CUSTOMERS ABOUT BLOG CONTACT SENTIENT ENERGY® GRID ANALYTICS SYSTEM™ V6.0 SETS NEW STANDARD FOR DISTRIBUTION GRID VISIBILITY AND CONTROL New Features in Sensors and Analytics Detect and Precisely Locate Faults to Reduce Duration and Frequency of Service Interruptions, Lower Operational Expense, and Improve SAIDI and SAIFI Scores Frisco, TX, October 19th, 2021–Sentient Energy, the leader in intelligent line sensors, analytics, optimization and control for the power distribution grid, today unveiled its Grid Analytics System v6.0. The new version offers a broad set of enhancements to more precisely identify and locate faults to help preempt outages, reduce outage durations, reduce operational expense, and improve service reliability. The latest enhancements further solidify Sentient Energy’s position as the most comprehensive grid monitoring and analytics system on the market. “Utilities spend $6-8 billion dollars annually on clearing vegetation from overhead lines––making it the largest single operations and maintenance expense1,” said Bob Karschnia, Sentient Energy CEO. “We strive not only to reduce the cost of vegetation management but also to increase safety and reliability at the same time. The Sentient Energy Grid Analytics System offers the most complete library of waveform data and unmatched analytics capabilities, which are constantly fed by our intelligent sensors. Version 6.0 contains advancements in the platform that pinpoint problems more efficiently.” Sentient Energy’s Grid Analytics System v6.0 comprises the MM3™ and ZM1™ overhead intelligent line sensors, the UM3+™ underground intelligent line sensor, and the company’s powerful Ample® Analytics Platform. The latest enhancements deliver the industry’s most precise fault detection, improve grid security, simplify sensor deployment, and extend critical monitoring and analytics to lower-current rural lines Utilities of every size across North America and globally rely on Sentient Energy solutions to improve grid safety, reliability and operations through data-driven decisions.