预测结果表明季节和趋势预测模型是一种有效和可行的负荷预测方法。
The forecasting result shows that season and trend mode is an effective and feasible load forecasting method.
实验结果表明，应用GP决策树算法能够正确完成对趋势预测模型的选择。
Experimental results show that the choice for trend forecasting models can be correctly finished by using GP-decision tree algorithm.
对专利的主要构成因素进行了分析，在此基础上选择合理的专利发展趋势预测模型。
This paper makes analysis on the main component factors and, based on this, selects rational models for forecasting patent developing trends.
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