Over the past one year, our team has made significant advancements in this field. We have advanced statistical models combined with the power or deep learning to make prediction models. These prediction models can also be self-learning models which learn from their own mistakes.
These models can make significant predictions based on mathematical data available. Deep learning and data analytics can be used to:
- Create models to predicting energy usage 6 months in advance
- Predicting plant operational efficiency. These prediction models are also very valuable in determining methods on how to increase plant efficiency.
- Using these models, we can find out key operational factors that can be changed to improve plant functionality and increase efficiency.