Enhancing Sustainability in Smart Energy Systems Through Anomaly Detection Algorithms

Abstract

The chapter discusses the significance of anomaly detection algorithms in enhancing sustainability in smart energy systems. These systems leverage advanced technologies to enhance energy generation, distribution, and utilization. Anomaly detection plays a critical role in identifying deviations from expected behavior, such as equipment malfunctions or cyber-attacks, through continuous monitoring of parameters like voltage and power flow. By employing robust mathematical models and advanced analytics, smart energy systems can effectively detect and address anomalies, ensuring uninterrupted operation and optimal resource allocation. The chapter underscores the necessity for ongoing research and collaboration among academia, industry, and policymakers to translate these insights into practical solutions for a sustainable and resilient energy future.