给出了一个发电侧竞价模型中应用遗传算法与BP算法结合进行市场出清价预测的实例。
This paper provides an example of bidding model to forecast market clear price using BP network optimized by GA.
将其应用于电力市场出清价及价格钉的预测实例研究，与传统的支持向量机预测结果比较，三角旋回支持向量机具有更高的预测精度。
Comparing to the results from traditional support vector machine for forecasting market clearing price and price spike in power market, the TGA-SVM manifests the more accurate forecasting results.
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