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短期负荷预测通常是指24小时的日负荷预测和168小时的周负荷预测,本文主要预测的是日平均负荷,对于短期负荷预测-short-term load forecasts usually refers to the 24-hour daily load forecasting and 168 hours a week load forecasting, In this paper, the forecast is the average load, short-term load forecasting
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为提高了短期负荷预测的精度根据季节气候的不同做不同的模糊处理并建立专家处理系统对天气做的模糊处理使预测结果令人满意-to a rise in short-term load forecasting accuracy under different seasonal climate so different fuzzy treatment and the establishment of the Expert Jimmy system for weather so fuzzy treatment
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SVM回归,用于实现支持向量机(SVM
)回归拟合的问题。可以用来做一些短期的预测,如短期负荷预测。-svm regression, used to implement support vector machine (SVM
) Regression fitting problems. Can be used to do some short-term forecasts, such as short-term load forecasting.
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可用于电力系统短期负荷预测的RBF神经网络程序,Power system can be used for short-term load forecasting procedures of the RBF neural network
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基于Elman神经网络的预测程序,可用于电力系统短期负荷预测 -Elman neural network-based forecasting process, can be used for short-term load forecasting of power system
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用遗传算法和神经网络混合算法预测电力短期负荷预测,是遗传算法的典型应用-Using genetic algorithm and neural network hybrid algorithm to forecast the electricity short-term load forecasting is a typical application of genetic algorithms
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遗传算法的c++程序,用于电力系统短期负荷预测-Genetic algorithm c++ program for power system short term load forecasting
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使用自适应逼近的短期负荷预测,为matlab代码,程序较为简单-The use of adaptive approximation of the short-term load forecasting for the matlab code, the program simple
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基于小波神经网络的短期负荷预测程序MATLAB-Based on wavelet neural network short-term load forecasting program MATLAB
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神经网络的BP界面,可以用此软件进行电力系统的短期负荷预测-BP neural network interface, you can use this software to power system short term load forecasting
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gm(1,1)灰色预测模型,可以进行各种预测。短期的电力负荷预测尤其的好。也可以进行中长期的预测,但是效果没有短期的好。-gm (1,1) Grey forecasting model can predict all kinds. Short-term load forecasting particularly well. Can also make long-term forecast, but they were not short of good.
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用此程序可以实现小波变换,用混沌理论和神经网络进行短期负荷预测时,神经网络的输入的选择至关重要-This process can be achieved with wavelet transform, chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input
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在用混沌理论和神经网络进行短期负荷预测时,神经网络的输入的选择至关重要,该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based o
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文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The
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优秀论文及配套源码。首先阐述了负荷预测的应用研究现状,概括了负荷预测的特点及其影响因素,归纳了短期负荷预测的常用方法,并分析了各种方法的优劣;接着介绍了作为支持向量机(SVM)理论基础的统计学习理论和SVM的原理,推导了SVM回归模型;本文采用最小二乘支持向量机(LSSVM)模型,根据浙江台州某地区的历史负荷数据和气象数据,分析影响预测的各种因素,总结了负荷变化的规律性,对历史负荷数据中的“异常数据”进行修正,对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响,
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基于混沌理论及小波理论的短期负荷预测 这是对混沌理论及小波理论的又一次研究-Chaos theory and wavelet theory based on short-term load forecasting
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可用于电力系统短期负荷预测的RBF网络模型-Can be used for short term load forecasting model of the RBF network
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利用灰色预测做短期负荷预测,24点、96点均可,简单高效-Gray prediction for short- term load forecasting , 24 points, 96 points can be simple and efficient
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基于BP神经网络的短期负荷预测,神经网络用于负荷预测的基本方法。-Short-term load forecasting based on BP neural network, the neural network for load forecasting method.
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电力系统短期负荷预测,改进支持向量机,优化算法,智能算法(Power system short-term load forecasting, improved support vector machine, optimization algorithm, intelligent algorithm)
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