A short-term prediction system based on data mining preparation and least squares support vector machine was presented for a multi-port remote monitoring and management system.
实现了基于数据挖掘理论和最小二乘支持向量机短时预测的多接口远程智能供水监管系统。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
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