资 源 简 介
应用背景 这是一些神经网络的外文资料，挺全的，尤其是对于神经网络在预测负荷预测，电力系统方面的预测上比较好.P型人工神经网络来建立负荷预测模型，以上述影响负荷的主要因素作为数据样本，进行神经网络的自我训练和学习，并且在不断地训练和学习的过程中引入误差反方向传播算法(即BP算法)来修正神经网络的连接权重，从而达到对负荷预测模型的改良和完善，进一步贴近实际的负荷变化。关键技术ann, forecasting, Nonlinear,This
article first describes the purpose and significance of short-term power load
forecasting, analysis of power system load, and describes the contents and
basic algorithm for power load forecasting．Focused on the artificial
neural network (ANN) for load forecasting principle and for a real load in
specific situations, made using artificial neural network model to predict
changes of its load .In the second step．
文 件 列 表
ann
.DS_Store
A neural network short term load forecasting model for the greek power system.pdf
A Time Series ANN Approach for Weather Forecasting.pdf
An ANN application for water quality forecasting_56(9)2008MP....pdf
An Artificial Neural Network Hourly Temperature Forecaster with Applications in Load Forecas.pdf
ANNSTLF—A Neural-Network-Based Electric Load Forecasting System.pdf
APPLICATION OF ANN FOR RESERVOIR INFLOW PREDICTION AND OPERATION.pdf
Application-of-Artificial-Neural-Networks-for-Temperature-Forecasting-.pdf
