Power generation. Energy efficiency.
Power generation systems: solar photovoltaic, wind.
Energy storage systems: conventional batteries, flywheels,…
Combination of generation and storage systems. Self-consumption.
Digitization of consumption data. Application of AI to build predictive energy consumption models.
Visualization and control of variables in real time.
Reporting and decision making.
Application of artificial intelligence to build predictive models of energy consumption.
In addition, the development and application of artificial intelligence in recent years and more specifically of tools such as Machine Learning, Deep Learning and Reinforcement Learning gives us the opportunity to build predictive models based on the data recorded from the same production process, which allows us to :
Selection of the appropriate process set-points (SET-POINTS) according to the requirements to be met in each part of the process.
Knowledge of deviations in real time.
More effective analysis of the reasons for such deviations.
Reduction of time in the resolution of incidents.
Savings in manufacturing costs.
