Efficient economic energy scheduling in smart cities using distributed energy resources
Awais Manzoor,
Waseem Akram,
Malik Ali Judge
et al.
Abstract:Machine learning provides a powerful mechanism to enhance the capabilities of the next generation of
smart cities. Whether it is healthcare monitoring, building automation, energy management, or traffic
management, use cases of capability enhancement using machine learning have been significant in
recent years. This paper aims to propose a modeling approach for scheduling energy consumption
within smart homes, based on a non-dominated sorting genetic algorithm (NSGA). Distributed energy
management plays a sign… Show more
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