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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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短期负荷预测对电力系统的经济和安全运行有重要作用随着人工智能技术和高深数学理论的发展,为负荷预测研究开辟了新途径和新方法电力市场竞争机制引入对负荷预测提出新要求各种随机因素对负荷预测的影响尚未取得完善研究方法据此对负荷预测的研究一直是人们研究的热点本文是根据课题组研究工作在总结的基础上重点介绍模糊集理论数据挖掘小波分析混沌理论的负荷预测研究
关键词短期负荷预测智能技术模糊集理论数据挖掘小波分析混沌理论-short-term load forecasts on the power system
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对电力系统中短期负荷变化与气温的关系进行量化分析，对提高负荷预测精度有参考价值。-On the power system in the short-term load changes and to quantify the relationship between the temperature analysis, to improve the accuracy of load forecasting a valuable reference.
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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 forecasts, but they were not a good short-term
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review in 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
-Short-term load forecasting using adaptive approximation for the matlab code, the procedure is relatively simple
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小波神经网络对短期负荷预测研究，经过实验证明小波神经网络能使结构达到最优-Wavelet neural network for short-term load forecasting, make The experiments show that the wavelet neural network structure to achieve optimal
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电力系统短期负荷预测ARMA预测数字信号处理-Power system short-term load forecasting ARMA prediction of digital signal processing
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极限学习机进行短期负荷预测，速度快时间短-ELM for short-term load forecasting, fast time is short
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Elman神经网络预测，源代码为短期负荷预测-Elman neural network prediction, the source code for the short-term load forecasting
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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(Short-term load forecasting is usually refers to the daily load forecasting and 24 hours, 168 hours of week of load forecasting)
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基于支持向量机的短期电力负荷预测，支持向量机，预测(Support vector machine based short-term power load forecasting, support vector machine (SVM), prediction)
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