Is Machine Learning the Right Solution?
4 Keys to ML Project Success Executive Summary In order to capture the desired value from your investment in Machine...
PingThings was a startup looking to build a real-time platform to leverage machine-learning for physical systems on the electric utility grid and high-value industrial assets such as GSU transformers and step-down transformers. They wanted an analytics platform to track sensor data, focusing on storing and manipulating time-series data and modeling complex relationships between synchrophasors' high-resolution signals.
Blue Orange helped build the first production prototype of PingThings’ PredictiveGrid. The PredictiveGrid is an Advanced Sensor Analytics Platform (ASAP) architected to ingest, store, access, visualize, analyze, and train machine learning and deep learning algorithms with sensor data measuring the grid with nanosecond temporal resolution.
Initial predictive problems addressed: