FMI-compliant Model Estimation in Python

Benchmarking building automation and control systems

ERT webviz plugins

FMU data standard and data export with rich metadata in the FMU context

This is a set of environments that support FMU based deep reinforcement learning (DRL) environment.

Extract triples about Functional Mock-up Units (FMUs) in Resource Description Framework (RDF)

AI4DI - Artificial Intelligence of Digitising Industry: This project builds a docker environment with a running server to trigger a simulation, based on an FMU model. The FMU model can be controlled by a client using a implemented REST API on the server (docker).

Upload files from reservoir simulators to azure assisted by sumo

Service converting and retrieving data from FMU to RESQML format.

An app to allow users to simply upload an FMU and run a simulation of it, show results in a graph and download them in a file.

Upload to Sumo in the FMU context

Thin python wrapper to interact with Sumo API

Interaction with Sumo in the FMU context