Define training objectives, current capability baseline, target roles, and the tools/workflows to standardise. Agree the scope, format, and outcomes per session.
We upskill teams in power systems modelling, controls, power quality, and connection engineering—using practical tools like OpenDSS, ReOpt, and SAM. We also advise on study automation architecture: scenario execution, repeatable workflows, and reporting automation to scale delivery.
1. Training & Technical Upskilling
Training in power systems modelling, controls, power quality, and connection engineering—delivered with practical exercises and tool-based examples (OpenDSS, ReOpt, SAM).
2. Study Automation & Infrastructure Advisory
Target architecture and infrastructure for automated study pipelines: scenario execution, repeatable workflows, QA gates, and reporting automation to standardise delivery.
Built on 10+ years of hands-on grid engineering.
Team Upskilling & Study Automation
Practical training and advisory to build internal capability—covering power systems modelling, inverter controls, power quality, and repeatable study workflows your team can apply immediately.
Confirm training objectives, role needs, and priority topics. Define the module scope, tools, and required inputs, and agree the expected outcomes and materials.
02
Execution
Deliver hands-on sessions with exercises, examples, and templates. Use your datasets where possible to keep training aligned to day-to-day engineering work.
03
Delivery
Provide reusable materials: slide deck, exercises, example models, and reference templates. Optionally define a repeatable workflow and tooling baseline to support consistent delivery after training.
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