Description: 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 to the economic and security operations with an important role in artificial intelligence technology and highly few Theories of development, load forecasting for the research opens up new ways and new methods of competition in the electricity market mechanisms to introduce new load forecasting with the various requirements Load factors for prediction of the impact has been no perfect method of load forecast accordingly research has been a hot research This is the point under discussion group study concluded on the basis of focus on the fuzzy set theory wavelet analysis data mining Jimmy Chaos On the load forecast studies Keywords short-term load forecasts intelligence technology fuzzy set theory wavelet analysis data mining Chaos Theory Platform: |
Size: 50921 |
Author:bluebowl |
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Description: 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct use of the procedure we will be able to realize short-term power load forecasting, the same used in other types of time series prediction Platform: |
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Author:sunyan |
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Description: 本文分析小波神经网络的特点重点研究在电力负荷预测中连续小波神经网络与BP神经网络相比具有的优缺点对认识和应用小波神经网络具有重要意义算例表明在网络结构相同的情况下连续小波神经网络比BP神经网络具有更高的预测精度-wavelet analysis of this neural network research focused on the characteristics of the power load forecasting continuous wavelet neural network and BP Neural networks have their advantages and disadvantages compared to the understanding and application of wavelet neural networks is of great significance example shows the network structure with the continuous wavelet neural network than BP neural network has a higher accuracy of prediction Platform: |
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Author:bluebowl |
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Description: 船舶电力负荷预测的matlab程序，预测效果比较好，应用的数据可靠。-Ship power load forecasting matlab procedures, the effect of prediction is better, the application of reliable data. Platform: |
Size: 115712 |
Author:betty20006 |
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Description: 最小二乘曲线拟合的一个类，用来实现一元线性回归的负荷预测-Least squares curve fitting of a class, one used to realize linear regression prediction of the load Platform: |
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Author:李炎 |
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Description: CPUname是RISC处理器，采用普林斯顿体系结构，CPU与数据存储器间的通信使用Load/Store指令实现，数据存储采取统一的32位字长格式，32位定长指令，地址指令格式。使用专用数据通路结构，四级流水线，分为取指及译码，取数，运算，回写四步，拥有相关专用通路以解决数据相关问题,对跳转指令应用分支预测技术，使其不影响流水。-CPUname is a RISC processor, using the Princeton architecture, CPU and data memory, the communication between the use of Load/Store instruction implementation, data storage to a unified format, 32-bit word length, 32-bit fixed-length instructions, the address instruction format. Using a dedicated data path structure, four lines, is divided into fetching and decoding, take the number of operations, write-back four-step, with related specialty channels to address the data-related problems, and jump instructions use branch prediction techniques, so as not to affect the water. Platform: |
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Author:张晓风 |
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Description: Prediction of pile settlement using artificial neural networks based
on standard penetration test data
F. Pooya Nejad a, Mark B. Jaksa b,*, M. Kakhi a, Bryan A. McCabe c
a Dept. of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
b School of Civil, Environmental and Mining Engineering, University of Adelaide, Australia
c Dept. of Civil Engineering, National University of Galway, Ireland
a r t i c l e i n f o
Article history:
Received 30 June 2008
Received in revised form 12 March 2009
Accepted 21 April 2009
Available online 20 May 2009
Keywords:
Pile load test
Pile foundation
Settlement
Neural networks
a b s t r a c t
In recent years artificial neural networks (ANNs) have been applied to many geotechnical engineering
problems with some degree of success. With respect to the design of pile foundations, accurate prediction
of pile settlement is necessary to ensure appropriate structural and serviceability performance. Platform: |
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Author:ali |
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Description: 这是采用Fortran语言编写的用于风力机叶片性能预测及载荷分析的程序，主要也是基于动量叶素理论。-It is written using Fortran for performance prediction of wind turbine blades and load analysis program, is largely based on blade element momentum theory. Platform: |
Size: 295936 |
Author:peter |
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Description: 神经网络的数据预测—电力负荷预测模型研究,带有数据，调 试过，可以运行，希望对大家有帮助-Neural network data prediction- the power load forecasting model with data, debugging, you can run, and I hope for all of us to help Platform: |
Size: 2048 |
Author:张力 |
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Description: This paper deals with digital control of a series
active filter integrated with a diode rectifier where the series
active fdter is controlled to function as a current source.
A predictive current regulator is considered for the series ac-
tive filter to achieve good ripple characteristics and predictable
switching losses. The operating conditions, and the effect
thereof on the current regulator are considered and oversam-
pling and prediction of the load voltage is suggested to improve
the active filtering performance without increasing the switching
frequenc-This paper deals with digital control of a series
active filter integrated with a diode rectifier where the series
active fdter is controlled to function as a current source.
A predictive current regulator is considered for the series ac-
tive filter to achieve good ripple characteristics and predictable
switching losses. The operating conditions, and the effect
thereof on the current regulator are considered and oversam-
pling and prediction of the load voltage is suggested to improve
the active filtering performance without increasing the switching
frequenc Platform: |
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Author:nek |
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Description: 电动汽车是智能电网的一个重要组成部分，能很好的解决能源紧缺，环境污染等问题。无线充电技术更有利于电动汽车与电网进行互动，更好的发挥电动汽车削峰填谷、消纳可再生能源的功能。本文在研究中国电动汽车发展相关政策的基础上，结合电动汽车无线充电的特点，基于统计数据，利用蒙特卡罗方法抽取私家电动汽车一次出行里程数，根据电池充电特性及车辆行驶习惯获得电动汽车充电的起始荷电状态、充电功率和起始充电时间，建立了一个较为精确的预测无线充电私家电动汽车充电负荷的数学模型，并对2015年和2020年私家电动汽车进行了充电负荷的预测。大量电动汽车的接入将对电网的运行和规划带来较大的影响，对未来电动汽车充电负荷水平进行计算和分析将有利于智能电网的建设和调度。-Electric cars are the smart grid is an important part of a good solution to energy shortages, environmental pollution and other issues. Wireless charging technology is more conducive to interact with the grid electric cars, electric vehicles play better load shifting, renewable energy consumptive functions. This paper studies the development of electric vehicles in China on the basis of relevant policies, combined with the characteristics of wireless charging of electric vehicles, based on statistical data, using the Monte Carlo method for extracting a private electric car trip mileage, according to the vehicle battery charging characteristics and habits to get electric cars the initial charge state of charge, charging time charging power and start to build up a more accurate prediction of private wireless charging electric vehicle charging load mathematical model, and in 2015 and 2020 conducted a private electric vehicle charging load forecasting . A large number of electric vehicles Platform: |
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Author:lhj |
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Description: The ability of a regression tree method to properly
interpolate among recorded data to give an estimate of the frequency
decline following a generator outage is examined in this
letter. The proposed method is a nonparametric technique that
can select those system characteristics and their interactions that
are most important in determining the relation between the generation/
load imbalance and the frequency decline. The information
obtained from the proposed method can be used online for
scheduling fast-acting reserve or load shedding for severe generator
outage incidents Platform: |
Size: 155648 |
Author:jorgehas |
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Description: 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 Platform: |
Size: 3072 |
Author:邻家 |
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Description: 该程序是基于粒子群算法优化支持向量机中的正则化参数C和核函数参数K的算法，实现了对电力负荷的短期预测，预测效果较好，可根据自己要求进行更改。-The algorithm is based on particle swarm optimization algorithm to optimize regularization parameter C and kernel function parameter K in support vector machine. It realizes the short-term prediction of power load, and the prediction effect is good, and can be changed according to the requirements. Platform: |
Size: 12288 |
Author:郭鹏飞 |
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Description: 基于组合预测方法的电力负荷预测研究_武岩岩(Research on Power Load Forecasting Based on Combination Forecasting Method) Platform: |
Size: 1608704 |
Author:阿波罗 |
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Search - prediction of load