An automated system for data acquisition and processing from multiple sources, including schematic drawing of the WWTP, energy consumption information, and equipment data. Data validation is implemented to prevent faulty input. The data cleaning pipeline provided by the Client was deployed to a Prefect server to handle processes in the background.

Developing a flexible modeling API using optimization software developed by the Client to predict energy consumption and generate WWTP financial models based on historical data.

Designing and implementing a scalable, secure, and accessible infrastructure using Amazon Web Services.

Building a network that contains a WWTP facility, processing the SCADA data, creating alternative scenarios, and setting up simulations require a lot of tweaking and iterations from the user, and therefore main components of the software were developed in a way to support high interactivity.