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Smart city article details

Title	An Autonomous Energy Management Concept For Sustainable Smart Cities
ID_Doc	7714
Authors	Ludolfinger U.; Martens M.
Year	2023
Published	2023 IEEE European Technology and Engineering Management Summit, E-TEMS 2023 - Conference Proceedings
DOI	http://dx.doi.org/10.1109/E-TEMS57541.2023.10424573
Abstract	In the course of the extreme expansion of distributed renewable energy generation systems and the increasing bottlenecks of energy resources due to political tensions, it is necessary to adapt the energy demand in cities and districts to availability. In addition, it is required to enable balancing across different energy resources, e.g., compensating gas shortages by an increased use of electricity.In this paper, we introduce a concept that makes such a load management control technically possible by using the flexibility of consumers of a city or district. To control the loads of a building autonomously multi agent deep reinforcement learning is applied, which automatically adapts to the consumption system. Dynamic energy prices are used as communication signals, they reflect the availability and demand of energy resources. We show that this concept meets all criteria for a load management system suitable for practice. Such are scalability, adaptability, data security, convergence speed, changeability and interoperability. © 2023 IEEE.
Author Keywords	demand response; local energy market; multi agent deep reinforcement learning; smart grid

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