Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system

Research article (CIRP Annals, 2021) · cited 21× · AI/ML
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Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system

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Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system is a scholarly article[1].

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  • Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system. Retrieved May 24, 2026, from https://4ort.xyz/entity/method-for-the-application-of-deep-reinforcement-learning-for-optimised-control-of-industrial-energy-supply-systems-by-t
MLA “Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/method-for-the-application-of-deep-reinforcement-learning-for-optimised-control-of-industrial-energy-supply-systems-by-t.
BibTeX @misc{4ortxyz_method-for-the-application-of-deep-reinforcement-learning-for-optimised-control-of-industrial-energy-supply-systems-by-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system}}, year = {2026}, url = {https://4ort.xyz/entity/method-for-the-application-of-deep-reinforcement-learning-for-optimised-control-of-industrial-energy-supply-systems-by-t}, note = {Accessed: 2026-05-24}}
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