Power Marketing Based on Deep Reinforcement Learning Can Explain Large Data Mining Methods

In this paper, a power marketing explainable big data mining method based on deep reinforcement learning is proposed to mine the potential value of power big data by intelligent algorithm. Firstly, the power marketing data is interpreted and pretreated to make the data fully explainable. Combining the advantages of deep learning and reinforcement learning, the deep learning algorithm is used to extract and represent the power big data to capture the complex relationships and patterns. At the same time, data mining strategy is optimized by reinforcement learning technology, and the mining process is dynamically adjusted according to the actual demand of power marketing. Practical cases show that the method can accurately identify the electricity consumption behavior and demand characteristics of power users, and provide accurate marketing strategies and personalized service recommendations. Therefore, the research on data mining technology provides strong technical support and guarantee for the precise marketing of power enterprises.