Energy management and smart grid communication

Official URL: https://dx.doi.org/10.1002/9781394337262.ch08

The global energy transition is accelerating, driven by climate change imperatives, urban growth, and the need for reliable and sustainable power systems. This chapter explores the convergence of smart grids and sustainable energy management as a response to this transformation, with a focus on the technologies, frameworks, and challenges shaping modern grid infrastructures. Smart grids, enhanced by Internet of Things (IoT), artificial intelligence, machine learning, and edge computing, are redefining how energy is generated, distributed, and consumed. We examine real-time grid monitoring, predictive analytics, and distributed energy resource optimization through data-centric architectures. Critical challenges such as cybersecurity, interoperability, and regulatory alignment are also analyzed. This chapter contributes a holistic view of intelligent grid systems by presenting emerging frameworks including federated learning, blockchain, and digital twins, which promise to drive scalable, privacy-preserving, and resilient energy ecosystems. Through technical insights and real-world applications, this study provides a roadmap for enabling secure, adaptive, and low-carbon energy systems aligned with global sustainability goals.