搜索资源列表
pso_gray.rar
- 粒子群优化算法结合灰色模型进行电力市场的预测，自己编写的源代码，使用标准粒子群算法,Particle swarm optimization algorithm combined with a gray model forecast of the electricity market, I have written the source code, using the standard particle swarm optimization
RBF.rar
- 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
GM11
- 基于灰色GM(1,1)理论的电力系统负荷预测程序 -Based on Gray GM (1,1) theory of power system load forecasting procedures
power
- 电力载波抄表数据库设计，包括前置机，采集器，处理机，排队机，企业管理，发电机参数及负荷预测等部分-Power Line Meter Reading database design, including front-end, collector, processor, Queue, enterprise management, generator parameters and load forecasting, such as part of
BpNetp2
- 神经网络实现电力预测，bP神经网络，共轭梯度算法。-Neural network prediction of electricity, bP neural networks, conjugate gradient algorithm.
[计及需求响应的配电网短期负荷精细化预测]
- 计及需求响应的配电网短期负荷精细化预测(Fine forecasting of short term load of distribution network considering demand response)
[考虑需求响应的配电网中长期负荷预测]
- [考虑需求响应的配电网中长期负荷预测](considering demand response for medium and long term load forecasting of distribution network)
Elman神经网络的数据预测—电力负荷预测模型研究
- Elman神经网络的数据预测—电力负荷预测模型研究(Data forecasting based on Elman neural network model of power load forecasting)
电力系统负荷预测数据
- 电力系统负荷预测数据，有详细的说明几年之内的数据每天的数据的
基于支持向量机的短期电力负荷预测
- 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)
BP神经网络负荷预测代码
- 能够对一天之中每隔15min的电力负荷数据进行预测(load forecast based on BP neural network)
电力负荷预测方法研究
- 介绍了负荷预测的特点以及影响预测负荷准确度的成分，并通过实际数据曲线形象地对其周期性、趋势性和节假日负荷的特点以及温度、湿度等影响因素进行分析。(This paper introduces the characteristics of load forecasting and the components that affect the accuracy of forecasting load, and analyzes its periodicity, trend and holiday lo
pso-svm电力负荷预测
- 电力负荷预测是电力系统规划的重要组成部分，也是电力系统经济运行的基础，其对电力系统规划和运行都极其重要。利用粒子群算法优化支持向量机更加高效准确预测电力负荷。(The power load forecasting is an important part of the power system planning, and it is also the basis of the economic operation of the power system. It is very important
vanet-trace-creteil-20130924-0700-0900
- 通过已有的电力负荷数据，依据支持向量机来预测任意时段的电力负荷(Predict traffic load at any time through existing data.)
遗传算法优化BP网络(用于电力负荷预测预测）
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
神经网络在电力负荷预测
- 附件中包括了制作的关于matlab神经网络在电力负荷预测中的应用的ppt，并且包括程序，希望大家能都锻炼下(The appendix includes the PPT produced about the application of MATLAB neural network in power load forecasting, and includes the program. I hope you can all exercise it.)
神经网络预测
- 这是偶然在网上找到的利用神经网络做2018年电力负荷预测的matlab代码，分享给大家。(This is the matlab code that I found by chance on the Internet to use 2018 neural network power load forecasting and share it with everyone.)
BP神经网络负荷预测
- 采用BP神经网络对电力系统负荷进行预测，预测结果与实际结果的误差较小，可作为电力公司进行优化调度的依据。(BP neural network is used to predict the load of power system. The error between the predicted result and the actual result is small, which can be used as the basis for optimal dispatching of power
负荷预测
- 对电力系统的负荷进行预测用BP神经网络实现(BP neural network for forecasting power system load)
bp负荷预测
- bp神经网络实现电力负荷预测，matlab实现(Bp neural network to achieve power load prediction, matlab to achieve)