Power Prediction Method of Photovoltaic Power Generation on Distribution Lines Based on Improved XGBoost Algorithm
Aiming at the existing prediction methods in the prediction of photovoltaic power of distribution lines,there are problems that the prediction results differ greatly from the actual situation and do not meet the requirements of prediction accuracy,the improved XGBoost algorithm is introduced to carry out the research on the design of the prediction method of photovoltaic power of distribution lines.Analyze the factors affecting the PV power generation of distribution lines and select variable features;based on the improved XGBoost algorithm,the contribution degree of each variable feature is calculated,and the prediction model is used to complete the prediction of power generation.The experimental results show that the prediction results obtained by the new prediction method are more consistent with the actual situation and have very high prediction accuracy.
improved XGBoost algorithmphotovoltaicpredictiongeneration powerdistribution line
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