Wind turbines and solar panels are equipped with a wide array of sensors and detectors that generate millions of invaluable data points. However, the absence of a common standard for structuring and labeling the outputs has hindered the industry’s ability to derive results. Many existing solutions employ rudimentary data models or rely on manual processing to prepare data, leading to inefficient analysis, potential errors in the resulting insights or both.
At Clir, our technology stack is built to extract the maximum possible value from wind and solar data and deliver quantifiable results. Using data-centric artificial intelligence, we programmatically structure and label the data points generated by renewable energy assets. This approach ensures faster insights, enhanced accuracy and greater confidence, transforming the way we leverage renewable energy data.