Device Analyzer Applies Advanced Algorithms to Improve Operational Performance
It allows users to see the device’s operational state in real-time
NEW YORK — Panoramic Power, a provider of device-level energy management solutions, has announced the release of Device Analyzer, what the company calls a new data-science approach to energy management that generates actionable energy and operational efficiency insights.
Using advanced machine learning algorithms, Device Analyzer provides users with visibility into the operational state of each of their monitored devices. Device Analyzer learns usage patterns for any device such as HVAC and lighting, and with pre-defined algorithms per device type, allows users to see the device’s operational state in real-time. It understands and monitors device sequencing, detects anomalies, and automatically generates operational insights. Device Analyzer shifts the user interaction from a focus only on energy consumption, to an operational one — delivering significant value to improve operations, productivity, and facility performance, said the company.
“Marking the effective integration of machine learning technology and data science, Device Analyzer introduces breakthrough architectural innovations that support process optimization across the PowerRadar™ software platform,” said Yaniv Vardi, CEO of Panoramic Power. “We are excited about our innovative technology that will change the conversation of energy data across the industry. Energy data can be complicated; it is not intuitive and often requires manual resources to analyze and extract insights. Device Analyzer simplifies this process and condenses energy data and transforms it into intuitive operational insights.”
The first implementation of Device Analyzer is manifested in PowerRadar Version 2.0, where the system collects device level energy data, automatically learns device patterns, and after a short training period automatically identifies the different operational states of each device.
For more information, visit www.panpwr.com.
Publication date: 6/1/2016
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