---
title: "Live Webinar : Elevate Your Energy Forecasting using Machine Learning with MATLAB"
description: "This project aims to enhance data analysis and modeling through three key objectives: utilizing low code tools for efficient data visualization, cleaning, and modeling; integrating MATLAB with open-source software to leverage computational capabilities and community-driven development; and promoting the adoption of synthetic data for enhanced analysis while addressing data privacy concerns. By combining these approaches, the project seeks to streamline data workflows, foster collaboration, and advocate for innovative practices in data science."
image: https://event.techsource-asia.com/hubfs/Energy%20Forecasting%20banner_18July2024-3.jpg
---

![Energy Forecasting banner_18July2024-2](https://event.techsource-asia.com/hs-fs/hubfs/Energy%20Forecasting%20banner_18July2024-2.jpg?width=1920&height=1080&name=Energy%20Forecasting%20banner_18July2024-2.jpg "Energy Forecasting banner_18July2024-2")

Overview

The load on the grid depends on multiple external factors making the data highly complex in nature. AI can be thought of as a tool to develop the forecast models for this complex data. At present, domain experts spend valuable efforts in cleaning data, searching for the right choice of predictive algorithms and fixing syntax of code. Manual deployment of developed models is also a cumbersome time-consuming process, and additionally requires IT expertise.

Highlights:

- How to leverage domain expertise in the AI workflow using MATLAB.
- How to deploy the algorithms seamlessly to the enterprise scale solutions.

 

 

## Register Now

# Our Speaker

![Claudine Casipit Papag-1](https://event.techsource-asia.com/hs-fs/hubfs/Claudine%20Casipit%20Papag-1.jpg?width=900&height=900&name=Claudine%20Casipit%20Papag-1.jpg "Claudine Casipit Papag-1")

###                CLAUDINE PAPAG               *   Application Engineer* 

Claudine works in the field of software development in the automotive and IT industries, specializing in modeling and simulation, verification, code generation, and tool automation using MATLAB and Simulink, doing cross-software configuration and helping different car manufacturers develop target systems. Extending capability in the application of model-based design and other methods, leveraging expertise in the fields of AI, robotics, hardware, and IoT implementation using MATLAB tools. 

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