A Comprehensive Comparative Analysis of Traditional Rule-Based EMS and Modern Data-Driven EMS: A Review

From rule-based controls to intelligent systems, there have been several advancements in EMS technology. Conventional EMS is characterized by features such as reliability, ease of use, and cost-effectiveness but is less adaptive in dynamically changing energy scenarios. Data-driven EMS solves the problems associated with traditional EMS through application of technologies such as AI and machine learning. Cybersecurity issues, computational intensity, and data availability are some of the issues that will need to be solved for successful adoption of data-driven EMS. The development of future EMS technologies may include intelligent systems that combine traditional and advanced AI systems.  

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