Developing Sigmafine model building skills including learning best practices for model building, modification and maintenance. Intended for Sigmafine users responsible for creating and maintaining models in order to expand the scope of a Sigmafine model or create new ones.
Acquiring the Sigmafine skills needed to run reconciliation models effectively. Intended for all users as a mandatory basic introduction to Sigmafine. It is a pre-requisite to more advanced topics.
Advanced Training on Composition Tracking aims to teach how to setup and use this Sigmafine analysis.
More in details it covers:
- Scope and benefits of Sigmafine Composition Tracking
- Requirements to run a Composition Tracking analysis
- Behaviour of different Mixing Models and use casess
- Configuration of Composition Tracking analysis
Developing Sigmafine model building skills including learning best practices for model building, modification and maintenance. Intended for Sigmafine users responsible for creating and maintaining models in order to expand the scope of a Sigmafine model or create new ones.
Managing and administering your company’s Sigmafine system, monitoring the health of the system, and taking preventive and corrective actions as needed. Also learning to implement periodic upgrades and new releases and becoming familiar with support procedures. Intended for individuals responsible for the performance, access, up-time and integrity of the Sigmafine system.
Configuring and using energy balance-related Sigmafine data references and analysis and interpreting the results. Intended for Sigmafine users who are involved in energy data management and processing. Review the prerequisites for this class here.
