Design Smarter Microgrids: Cut Risk, Boost Performance, and Reduce Costs

Watch this webinar to see how AI, simulation, and model-based design can help you build battery models, predict maintenance needs, and optimise energy systems—all on one platform.

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Designing reliable, cost-efficient energy systems is no longer optional – it’s essential. In this short, high-impact webinar, see how simulation, AI, and optimisation work together on a single platform to help you confidently size and optimise microgrids. Nur’ain Areff will demonstrate how this approach accelerates development, improves performance, and reduces risk – giving engineers and researchers the tools they need to drive innovation in the energy space.

What to Expect
In just 45 minutes, you’ll see:

  • A live demo of how to model, optimise and size microgrids using simulation
  • Using simulations for low or high-fidelity modelling based on the use case
  • Techniques for implementing charging algorithms within battery models
  • How to use deep learning to enable life cycle predictions for batteries
  • Q&A with a technical expert

Who Should Attend:

  • Energy systems engineers and microgrid designers
  • Researchers and academics in renewable energy or electrification
  • Data scientists working on predictive maintenance
  • Technical leads focused on reducing risk and speeding up development
  • Anyone exploring simulation and AI for energy applications
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About the Presenter
About the Presenters

Nu'Rain Areff holds a background in both Biomedical and Electrical Engineering, providing a strong foundation across multiple technical domains. As a consultant at Opti-Num Solutions, she specialises in Model-Based Design, Data Analytics, and Computer Vision, with a particular interest in integrating hardware where possible. Her role at Opti-Num has enabled her to contribute to a wide range of projects across the medical, energy, and defence industries, deepening her expertise and broadening her perspective across sectors.

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