Conference program

The Conference program will be available soon.

Tutorials Sessions

Pr. Imed KHABBOUCHI,
University of Carthage, National School of Advanced Sciences and Technologies at Borj Cedria, Tunisia · Sciences and Technologies

Workshop Session I :

AI and Its Applications in Hybrid Energy Systems : practical case studies using Python

Part I : General Introduction

S1: Introduction to Artificial Intelligence: Fundamentals and how intelligent programs work in Machine Learning and Deep Learning.

S2: Applications of AI in hybrid renewable energy systems.

Part II : Introduction to Python Programming

S1: First steps with the Python environment, including simple programming examples and an overview of libraries.

S2: Data analysis with Python: reading and processing a DataFrame, and the steps of a Machine Learning project.

Part III :  Application – Prediction

S1: Reading a DataFrame (database) and preparing it for training a Machine Learning model.

S2: Creating and training a Machine Learning model to predict renewable energy production. Model verification and testing using various accuracy metrics (R², MAE, MSE, RMSE…), with presentation of the results

Pr. Salah ZIDI,
University of Gabes, Higher Institute of Industrial Systems of Gabés, Tunisia.

Pr. Mounira TARHOUNI, University of Gabes, Higher Institute of Computer Science and Multimedia of Gabes, , Tunisia

Workshop Session II :

AI and IoT for Smart Agriculture

Part I :   AI Fundamentals & Tools for Smart Agriculture

S1: Introduction to AI Intelligence: Machine Learning, and Generative AI

S2: Prompt engineering: how to write effective prompts to leverage generative AI

S3: Python coding with generative AI assistance: examples for data science and IoT

S4: Project setup: designing a smart irrigation system using data from sensors and environmental factors

Part II :   Prototyping and Deploying a Smart Irrigation System

S1: Introduction Development of the automatic irrigation system: IoT sensor network + ML models (classification/regression)

S2: Model deployment on a Raspberry Pi 4 board

S3: Mobile application development using Flutter and FirebaseS4: Demonstration of a working smart and connected irrigation prototype