Power system modeling is a constantly evolving field, and there are many ways to improve and enhance it. Adopting more advanced and flexible modeling frameworks and platforms, such as object-oriented, agent-based, or hybrid modeling, can allow for more modular, scalable, and interoperable models. Applying more sophisticated and intelligent techniques and algorithms, such as artificial neural networks, fuzzy logic, or genetic algorithms, can enable more adaptive, robust, and optimal models and simulation. Integrating more data and information sources and sensors, such as smart meters, PMUs, or drones, can provide more accurate, timely, and comprehensive data for the models and simulation. Engaging more stakeholders and experts can foster collaboration, innovation, and dissemination of the models and simulation. Understanding the basics of power system modeling is essential for energy engineers to optimize the stability of electric grids. By learning about the benefits, challenges, and opportunities of power system modeling you can enhance your skills in this important field.