In power markets, accurate electricity price forecasting can help all market participants make optimal bidding or purchasing decisions and maximize their proceeds.
在电力市场中，准确的电价预测能够为市场参与者确定最优报价策略或购价策略提供指导，为他们带来最大化的收益。
The product price forecasting model based on function-driven was presented by use of LS-SVM.
以最小二乘支持向量机为工具，构建了基于功能驱动的产品价格预测模型。
The accuracy of the electricity price forecasting is very important to power plants bidding decision.
在电力市场中边际电价预测得准确与否，对于发电厂的竞价决策具有非常关键的影响。
The discovery of long memory suggests possibilities of constructing nonlinear econometric models to improve price forecasting performance.
长期记忆性的存在使得有可能通过建立非线性经济计量模型以改进价格预测效果。
The case of Nokia cellphone product price forecasting was adopted to illustrate the principle of samples function data standardization and the procedure of calculation.
并以诺基亚手机产品价格预测为例，说明了样本功能数据标准化的原则及模型的计算过程。
Through analysis of several experiments, we find that Winters model and BP neural network model are more accurate for price forecasting of crude oil futures and naphtha.
通过多个实验分析，发现，温特斯模型和BP神经网络模型分别是原油期货和石脑油的较精确价格预测模型。
Electricity price is the core content in electricity market environment. All parties taking participates in power market are urgent to need high-accuracy price forecasting methods.
电力市场环境下，电价是整个市场的核心内容，市场参与各方都迫切需要准确的电价预测方法。
Electricity price is the core content in electricity market environment. All parties taking participates in power market are urgent to need high-accuracy price forecasting methods.
电力市场环境下，电价是整个市场的核心内容，市场参与各方都迫切需要准确的电价预测方法。
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