CASe study
Orbital Achieves 53.7% Improvement in CO₂ Concentration Prediction Accuracy
20 Apr 2025
Goals
Improve upon CO₂ concentration prediction against Imperial's State-Of-The-Art Model
Benchmark Orbital’s performance against current state-of-the-art simulation-based optimisation and anomaly detection methods (e.g., TimesNet, DAE-LSTM).
Results
0
%
improvement in CO₂ concentration prediction
0
%
Accuracy in early failure detection