Prediction and prescription are the main outputs of the application of Artificial Intelligence models into the NUO’s platform. Through them, you will benefit from getting automated recommendations that will help you make use of your available data, by outputting predictions and courses of action, specifically about:
Anomaly detection/classification: AI helps you correlate non-so-intuitive data in order to understand where errors and optimization opportunities lie.
Availability forecasting / nowcasting: AI models help predict plant availability more precisely, which is key to a correct energy dispatching and to participate into flexibility markets.
Predictive maintenance: AI models allow to react to emergencies quickly and even to avoid them altogether. In the longer term, the also allow to re-schedule programmed maintenance to avoid potential defaults. AI models also enable the planning of an asset’s revamping, by prioritizing interventions based on a given budget and ROI evaluations.