Live Webinar

Best Regression Models "Without Writing Python/MATLAB Codes" to (C/C++ Web Applications)
09.09.2020 | 10:30-11:30 (GMT+8)
Online via Webex

Regression Model-1

About the Event

The Regression Learner app lets you explore your data, select features, specify validation schemes, optimize hyperparameters, and assess model performance to predict your data without the need of writing any code.

You can export regression models to the MATLAB® workspace or generate MATLAB code to integrate models into applications.

The app takes menial workflows and tasks like setting up the validation, picking the relevant predictors, and picking the optimal model and tuning it and makes them interactive, saving you time. Giving you full transparency and automates the workflow by generating codes automatically.

 

pdm3

Highlights

In this session, we will demonstrate:
  • How to assess voltage- and frequency-based grid code compliance for both historical PMU data
  • Simulated response of grid-connected power generation systems.
  • Codes such as IEEE 1547 and PRC-024 will be considered, in addition to user-defined grid codes.

The Speaker

Photo - Ian
Ian Alferez
Application Engineering Manager

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