Forecast Simulation
We will explore the developments made for the “Forecast Simulation” section.
We will explore the achievements made during this internship and the various features that were implemented.
As indicated on the summary page, an initial version of the site had already been implemented by the previous intern. In this version, the data qualification and variable anomaly detection features were put in place. Additionally, the infrastructure necessary for web hosting of the application was installed. This infrastructure is hosted on OVHCloud, using an Ubuntu 22.04 distribution, and the application is deployed with Flask.
For this internship, the missing features will need to be implemented, including forecast simulation, systemic anomaly detection, and impact study. Additionally, quality of life (QOL) improvements will be made.
We will explore the developments made for the “Forecast Simulation” section.
This feature allows for the detection of anomalies in real-time and historical data.
This feature allows for analyzing the impact of variables and their mutual influences.
This feature allows for adding and updating available models, configuration files, datasets, and default value files.