
SUNNIC utilizes intelligent microgrid integration technology, a fully liquid cooled energy storage and super charging system, and an independently developed EMS energy management platform to manage comprehensive energy, distribution networks, and electricity consumption nodes, improving the quality and efficiency of public infrastructure supporting services, empowering the optimization of social energy structure, and helping global ecological sustainable development. [pdf]

Abstract: In order to optimise the coordinated control of micro-grid complex energy storage including photovoltaic and wind power, improve the absorption ability of distributed energy generation and reduce the cost, this paper proposes a Double Deep Q-Network reinforcement learning algorithm to train agents to interact with the microgrid environment and learn the optimal scheduling control mechanism. [pdf]
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