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The study optimises the integrated energy system of a chemical park by constructing a model to improve the efficiency of energy use, reduce energy costs, and promote the application of environmentally friendly energy sources. The results of the study show that the proposed strategy improves the operational efficiency of the system. Under different light intensity and temperature conditions, the system stability reaches 98% and 97%, respectively. Practical application analysis further proves the effectiveness of the model, for example, the day-ahead maximum error power of the electric load is reduced to 160\u00a0kW, the average error rate is reduced to 5.5%, and in real-time forecasting, the average error rate of all load types is generally lower than that of day-ahead forecasting. 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