Online Algorithms for Optimal Energy Distribution in Microgrids (SpringerBriefs in Applied Sciences and Technology)
by R. Mark Nelms, Yu Wang, Shiwen Mao
Online Algorithms for Optimal Energy Distribution in Microgrids offers a concise exploration of computational strategies for efficient power management. Authored by R. Mark Nelms, Yu Wang, and Shiwen Mao, this SpringerBrief in Applied Sciences and Technology delves into real-time algorithms that enhance energy allocation in distributed systems, supporting reliable and sustainable microgrid operations.
About This Book
This SpringerBrief presents research on online algorithms tailored for optimal energy distribution within microgrids. Authored by experts in the field, it addresses the challenges of real-time energy management in small-scale power systems.
The content focuses on algorithmic approaches that enable efficient allocation of energy resources, ensuring stability and performance in microgrid operations. It draws from applied sciences and technology to offer foundational knowledge for practitioners and researchers.
Key discussions include the integration of computational methods to handle dynamic energy demands, making it a valuable resource for advancing sustainable energy solutions in modern infrastructures.
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