In the context of the concept of green power,in order to solve the problem of low efficiency and high energy consumption in traditional transformer monitoring,the study first made a series of improvements to the Eulox algorithm and integrated reinforcement learning algorithms to design a new transformer energy-saving model.The experimental results show that the energy consumption per unit time of 48 substations has been significantly reduced after applying this scheme,with an average value of about 4 210 KJ,a decrease of 8.76%compared to before application.In summary,the energy-saving optimization model for transformers proposed in the study has ad-vantages such as high reliability and low energy consumption,providing a new solution for the development of green economy.
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