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Description: 运用神经网络预测风速，并提出算法，最后作出比较，说明神经网络是预测的良好模型-The use of neural network to predict wind speed, and algorithm, and finally make a comparison on neural network model is a good forecast
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Size: 634880 |
Author: 沈燕 |
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Description: Data assimilation (DA) is a method of combining observation data with
model forecast data in order to more accurately predict the state of a system.
One of its most common uses is in numerical weather prediction (NWP).
In NWP, we have observation data about different atmospheric properties,
such as pressure, temperature and wind speed, obtained from various sources,
such as ground stations, radiosondes, aircraft and satellites, at many different
locations. We also have details of the state of the system at an earlier time,
and a model which uses this to predict a forecast state. In the analysis
step of the DA system, this model forecast state is combined with recent
observation data to give an accurate estimate of the state of the system,
called the analysis state. This analysis state is then used to produce the
forecast state for the next analysis time step.
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Size: 537600 |
Author: kalaiarasan.R |
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Description: 对未来的风速进行预测，预测的很准，具有很好的预测功能-Wind speed to predict the future, forecasting is very accurate, with good predictive capabilities
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Size: 2521088 |
Author: 徐燕 |
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Description: ARMA时间序列模型预测风电场风功率大小，matlab源代码特例分析-ARMA time series models to predict the size of wind farm wind power, matlab source code for exception analysi
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Size: 3072 |
Author: Isobel |
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Description: 运用灰色理论预测我国风电装机容量_谢建华
对我国风电安装量的具体理论研究探讨-Using the gray theory predicts China' s wind power installed capacity _ Xie Jianhua explore specific theoretical study of China' s wind power installed capacity
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Size: 75776 |
Author: 闵恒 |
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Description: 通过java的编程，在安桌系统的手机里可显示当前的实时天气信息，包括风向、风力、温度、建议等，还可显示后四天的天气信息，设置实时天气信息的对象，得到最后一个预报天气。-Java programming to display real-time weather information, including wind direction and speed, temperature, and recommendations, but also in the security desk phone display after a four-day weather information, object to set the real-time weather information obtained last predict the weather.
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Size: 70656 |
Author: 杨强 |
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Description: 基于人工神经网络法的风电功率预测matlab程序，可预测未来几十个小时内的风电功率。-Based on Artificial Neural Network Method wind power prediction matlab program, you can predict the future of dozens of hours of wind power.
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Size: 15360 |
Author: yunhai |
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Description: 基于时间序列法的风电预测matlab程序，可根据已知数据预测未来的风电功率。-Method based on time series prediction matlab program for wind power, according to known data to predict the future wind power.
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Size: 18432 |
Author: yunhai |
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Description: 基于灰色模型的风电预测matlab程序,根据已有数据利用灰色模型预测未来的风电功率。-Wind power based on gray model prediction matlab program, based on the existing data using gray models to predict the future wind power.
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Size: 14336 |
Author: yunhai |
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Description: 运用最小二乘法进行风电功率拟合，再使用它进行预测，含数据和实际案例-Using the least squares method to fit wind power, and then use it to predict, including data and actual cases
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Size: 2048 |
Author: Victoria |
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Description: 这是一篇关于利用改进的粒子群优化算法来构造多层人工神经网络的文章，可用于预测风力和天气。-This is an article on the use of improved particle swarm optimization algorithm to construct a multilayer artificial neural network of the article, can be used to predict the wind and weather.
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Size: 1024000 |
Author: 棉花糖 |
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Description: Paper Abstract – An adaptive control of Distributed Generation (DG)
to provide predictable active power output at the primary
distribution substation is described. Often, distribution networks
accommodate renewable energy different energy sources
and thus using different energy conversion sources. As the
amount of generation that comes intermittent renewable
sources (e.g. wind energy) increases, network operators start to
concern with the uncertainty of generation. However, when the
power output intermittent renewable sources is predicted,
the network operators can reduce the operational costs of the
network and the DG owners may go on the market. Thus, our
challenge with this work was to develop an algorithm which can
predict the active power output the aggregation of wind and
biomass energy at the primary distribution substation of a typical
distribution network. Wind and biomass energy plant are onto
the same distribution network but not necessarily onto the same
feeder.-Paper Abstract – An adaptive control of Distributed Generation (DG)
to provide predictable active power output at the primary
distribution substation is described. Often, distribution networks
accommodate renewable energy different energy sources
and thus using different energy conversion sources. As the
amount of generation that comes intermittent renewable
sources (e.g. wind energy) increases, network operators start to
concern with the uncertainty of generation. However, when the
power output intermittent renewable sources is predicted,
the network operators can reduce the operational costs of the
network and the DG owners may go on the market. Thus, our
challenge with this work was to develop an algorithm which can
predict the active power output the aggregation of wind and
biomass energy at the primary distribution substation of a typical
distribution network. Wind and biomass energy plant are onto
the same distribution network but not necessarily onto the same
feeder.
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Size: 142336 |
Author: elshan.j |
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Description: 基于yalmip的机组组合优化程序(包含风电机组)，以经济为目标函数来预测发电机出力情况。-Based yalmip crew combinatorial optimization program (including wind turbines), the economy as the objective function to predict the output of the generator case.
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Size: 1024 |
Author: xiao |
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Description: 采用BP神经网络的方法预测风力机发电功率-Adopt the method of BP neural network to predict wind turbine power
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Size: 348160 |
Author: 郜志腾 |
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Description: BP神经网络用于风功率预测，可以仿真出风功率以及每个点的误差-BP neural network is used to predict wind power, wind power can be simulated and error for each point
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Size: 2048 |
Author: |
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Description: MATLAB 从实际风电场对一个季度的风速进行采样，建立LSSVM模型，对之后几天的风速进行预测-MATLAB actual wind farm on a quarterly sample the wind speed, the establishment LSSVM model to predict the wind speed after a few days
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Size: 3072 |
Author: 林玲 |
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Description: Considering the randomness and volatility of wind, a method based on B-spline neural network optimized by particle swarm
optimization is proposed to predict the short-term wind speed
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Size: 2032640 |
Author: Ephraim Admassu |
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Description: Elman神经网络法预测风电功率
内含5min间隔的数据
预测输入为相关因素：风速、风向和温度
预测变量是风电功率
精度较高-Elman neural network to predict wind power
5min intervals containing data
Prediction input factors: wind speed, wind direction and temperature
Predictor is wind power
High accuracy
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Size: 58368 |
Author: 雷阳 |
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Description: arma时间序列预测，可以用来通过过去的数据预测未来的风电功率-arma，you can use it to predict the future wind power
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Size: 2048 |
Author: Jamietang |
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Description: 本程序是运用小波分析和神经网络结合方法进行风速预测-This procedure is the use of wavelet analysis and neural network approach to predict wind speed
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Size: 45056 |
Author: 阿龙 |
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