The invention discloses a storage and charging station control method based on machine learning, and a terminal, and the method comprises the steps: calling a plurality of training devices to train corresponding sub-neural networks based on the obtained operation data of a storage and charging station, and carrying out the parameter optimization of an energy management model based on the operation data and the sub-neural networks of the training devices, therefore, the sub-neural networks of different dimensions can be trained based on different trainers, so that the parameters of the energy management model can be optimized from different dimensions; and if the energy control strategy of the storage and charging station needs to be updated, the control parameters of the storage and charging station need to be calculated according to the historical operation data of the storage and charging station and the energy management model, so that the energy management strategy can be intelligently adjusted, the manual maintenance cost is reduced, and the economic benefits of the storage and charging station operation are improved.
本发明公开了一种基于机器学习的储充站控制方法及终端,基于获取到的储充站的运行数据,调用多个训练器训练对应的子神经网络,再基于运行数据和训练器的子神经网络对能量管理模型进行参数优化,因此能够基于不同的训练器训练不同维度的子神经网络,从而保证能够从不同维度优化能量管理模型的参数;若储充站需要更新能量控制策略,需要根据储充站的历史运行数据和能量管理模型计算储充站的控制参数,因此能够智能地对能量管理策略进行调整,减少人工维护的成本,提高储充站运营的经济效益。
Storage and charging station control method based on machine learning, and terminal
一种基于机器学习的储充站控制方法及终端
2021-10-29
Patent
Elektronische Ressource
Chinesisch
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