This paper presents a new short-term load forecasting method based on resource-allocating network (RAN).
提出一种基于资源分配网络 （ resource-allocating network，RAN）的短期负荷预测方法。
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。
This paper proposes a new short-term load forecasting method based on decision-tree approaches, which could efficiently take the non-load factors' influences into account.
提出了一种基于决策树技术的短期电力负荷预测新方法，能有效地考虑非负荷因素对短期负荷预测的影响。
Practical operation results show that the cluster analysis method can considerably improve the accuracy of short-term load forecasting.
实际运行结果表明：利用聚类分析法进行负荷短期预测，短期负荷预测的精度大大提高。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
提出一种时间序列算法和模糊逻辑技术相结合的电力系统短期负荷预测方法。
A reduced dimensions method applying neural network is proposed for short term load forecasting.
提出一种采用神经网络进行电力系统短期负荷预测的降维方法。
For the short -term electric power load with uncertainty influence factors, we put forward the load forecasting method using ANN based on similar historical day.
对于受不确定因素影响的短期电力负荷，提出了一种基于相似日的神经网络预测方法。
A hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting.
提出了一种将混沌和神经网络相结合的方法用于短期负荷预测。
A novel method called load derivation is introduced for ultra-short term load forecasting of power system.
负荷求导法是超短期电力负荷预测的一种新方法。
In this paper we propose a method for short-term load forecasting using artificial neural network.
本文提出了一种应用人工神经网络进行电力系统短期负荷预测的方法。
Results show that short-term load forecasting by the developed method is sample, fast and accurate, which can be implemented on a personal computer.
计算结果表明，提出的短期负荷预测方法是简单、快速并精确的，可在个人计算机上实现。
The paper studied Ultra-short term the load forecasting from two aspects:data preprocessing and forecast method.
本文主要从训练样本选择和预测算法两个方面进行了研究。
The real power system ultra-term load forecasting proved that effectiveness of the method from the paper in the improvement of the precision of ultra-short term load forecasting.
经实际电网超短期负荷预测检验，论文所提方法能有效提高超短期负荷预测精度。
The short-term load forecast model was established based on the AVCPSO-RBF algorithm. Using the method and history load data of Guizhou power system, the short-term load forecasting was carried out.
建立了基于该优化算法的短期负荷预测模型，利用贵州电网历史数据进行短期负荷预测。
The short-term load forecast model was established based on the AVCPSO-RBF algorithm. Using the method and history load data of Guizhou power system, the short-term load forecasting was carried out.
建立了基于该优化算法的短期负荷预测模型，利用贵州电网历史数据进行短期负荷预测。
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