TREND ANALYSIS GIVES THE COMPETITIVE EDGE
Metrum is now launching the next generation measurement system for efficient monitoring of energy and power quality using pattern recognition and machine learning. By using the very latest technical advances, PQ4cast is able to predict the forthcoming status of the electrical grid.
MEASUREMENTS IN AN INTUITIVE INTERFACE
PQ4cast registers multiple parameters to ensure that electricity is supplied with good quality. The measurement readings are provided in an intuitive interface, allowing you to monitor the forecast in real time and study potential changes as they arise, hour by hour.
A WEB INTERFACE THAT GIVES YOU TOTAL CONTROL
The Web interface provides a geographical view of specific measurement points where a selectable number of parameters such as voltage, power and harmonic levels are presented. Using historic readings based on previous variations, a forecast is generated per selected parameter which is automatically compared with selectable limits. In this way PQ4cast predicts the status of the electrical grid and monitors power quality, issues alerts about forthcoming deviations, and potentially avoid an interruption.
“PQ4CAST IS A REAL PARADIGM SHIFT IN THE MEASUREMENT OF POWER QUALITY”
Dr. Peter Axelberg, Associated Professor Electrical Engineering,University of Borås /Chalmers University of Technology
EUROPEAN PATTERN RECOGNITION PROJECT PQ4cast is the result of a comprehensive pan-European research project focusing on the use of powerful AI algorithms to make better assessments and forecasts about the electrical grid status. The aim of the two-year project was to increase the amount of renewable energy in the electric grid, with Metrum serving as Managing Partner.