Combustion Optimizing AI

Data Analytics, Operations, Coal, Cybersecurity, Machine Learning, Monitoring/Analytics

We have developed an AI to simulate and optimize combustion processes using long short-term memory (LSTM) networks and stochastic gradient descent (SGD). By modeling the features in accordance with the directed acyclic graph (DAG) that encodes the topological ordering of industrial subsystems, our LSTM combines time-series data and structural information to create a fully causal simulation providing state-of-the-art predictions for real-time analysis.

AI

Hardware