October 2019
Intermediate to advanced
366 pages
12h 4m
English
Content preview from Reinforcement Learning Algorithms with Python
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Energy optimization and smart grid
Energy optimization and smart grids are central for intelligent generation, distribution, and consumption of electricity. Decision energy systems and control energy systems can adopt RL techniques to provide a dynamic response to the variability of the environment. RL can also be used to adjust the demand of electricity in response to a dynamic energy pricing or reduce energy usage.
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