SIGNATURE WORK
CONFERENCE & EXHIBITION 2024

This project revolves around the development and application of ordinary differential equation (ODE) mathematical modeling techniques for occupancy detection based on CO$_2$ concentration dynamics. Focus lies in the mathematical modeling aspect, particularly utilizing ODEs to simulate and analyze the relationship between indoor CO$_2$ levels and occupancy patterns.

Key components include:

1. Creation of ODE-based models to describe the dynamics of indoor CO$_2$ concentration in response to varying occupancy levels and ventilation rates.

2. Conducting validation studies to assess the accuracy and reliability of the ODE models in predicting CO$_2$ concentration dynamics under different environmental conditions.

3. Development of a simulation framework to simulate occupancy scenarios and evaluate the performance of the ODE models in detecting occupancy based on CO$_2$ concentration data.

4. Exploration of optimization techniques to refine the ODE models and improve their predictive capabilities for occupancy detection.