نظرة عامة على البرنامج

Institute for Sensing and Embedded Network Systems Engineering (I-SENSE)

The Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) was established in early 2015 to coordinate university-wide activities in the Sensing and Smart Systems pillar of FAU's Strategic Plan for the Race to Excellence.

Programs

• Programs Overview
• Infrastructure Systems
• Marine and Environment
• Health and Behavior
• Undergraduate Research Opportunity

Infrastructure Systems

Machine Learning Techniques for Energy Forecasting and Optimization

Led by Zhen Ni, Ph.D.

• REU Scholar: Mahim Rahaman
• REU Scholar Home Institution: Lehman College
• REU Mentor: Zhen Ni, Ph.D.

Project 1: Enhancing Energy Management

This project focused on data visualization, computer programming, and result analysis using artificial intelligence and machine learning for energy forecasting and management. Leveraging smart energy data, including electricity demand and load profiles, the project aimed to understand and predict energy consumption patterns. Extensive data visualization was conducted to uncover trends, followed by thorough data cleaning. Machine learning algorithms, specifically Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN), were utilized to forecast energy consumption. The importance of this project lies in its potential to significantly improve energy management systems.

Project 2: Load Demand Forecasting

• REU Scholar: Matthew Orellana
• REU Scholar Home Institution: Florida Atlantic University
• REU Mentor: Zhen Ni, Ph.D. This project is focused on creating deep learning models to predict energy consumption during the summer of 2017 in Tetouan, Morocco. Various models were explored, including recurrent neural networks (RNNs), deep neural networks (DNNs), SHAP (Shapley Additive Explanations), and Fourier series transformation. The findings indicate that the DNN model performed particularly well, achieving a mean absolute percentage error (MAPE) of 1% for the Tetouan summer data.

Undergraduate Research Opportunity (REU)

The REU program provides undergraduate students with the opportunity to conduct research in Sensing and Smart Systems. The program is designed to provide students with hands-on research experience, mentorship, and training in advanced research techniques.

People

• Leadership & Faculty Fellows
• Affiliate Faculty
• Postdocs
• Student Assistants