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jra78
- 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,本文主要预测的是日平均负荷,对于短期负荷预测-short-term load forecasts usually refers to the 24-hour daily load forecasting and 168 hours a week load forecasting, In this paper, the forecast is the average load, short-term load forecasting
loadforecast
- the load forecast based on Neural Networks,use the MATLAB-the load forecast based on Neural Networks, use the MATLAB
WVNN
- 小波神经网络对短期电力负荷的预测,带有小波程序,神经网络程序,输入为归一过的数据-Wavelet neural network for short-term load forecast with wavelet process neural network procedures, input data have been normalized
SVM_Short-term-Load-Forecasting
- 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状,概括了负荷预测的特点及其影响因素,归纳了短期负荷预测的常用方法,并分析了各种方法的优劣;接着介绍了作为支持向量机(SVM)理论基础的统计学习理论和SVM的原理,推导了SVM回归模型;本文采用最小二乘支持向量机(LSSVM)模型,根据浙江台州某地区的历史负荷数据和气象数据,分析影响预测的各种因素,总结了负荷变化的规律性,对历史负荷数据中的“异常数据”进行修正,对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响,
xiaobo
- 建立小波神经网络负荷预测模型,并对小波神经网络的节点(输入层、中间层、输出层)进行选择,并选用合适的小波神经网络的训练函数,提高收敛速度和负荷预测精度。-The establishment of wavelet neural network load forecasting model, and wavelet neural network nodes (input layer, middle layer, output layer) to select and choose the appro
GM(1-1)
- 这是一个用于负荷预测的灰色预测模型GM(1,1),希望对大家了解灰色预测模型及负荷预测有帮助-This is a gray prediction model for load forecasting GM (1,1), we want to understand the gray forecast model Type and load forecasting help
1
- 基于股票分析方法的电力系统负荷预测:主要思路是从过去的负荷中得出对应的DIF值、DEA值、MACD值。然后再通过DIF去估测明天DIF估计值、DEA估计值、MACD估计值。然后又通过DEA、MACD估计值算出一个新的DIF估计值。再将这两个DIF估计值算术平均得出一个新的DIF估计值,然后反推出负荷的预测值,这样就完成了负荷预测。-The main idea is drawn from the past load values corresponding to the DIF, DEA valu
RBFjulei
- 基于聚类算法的RBF预测,可用于电力负荷,证券等方面的预测-RBF prediction based on clustering algorithm, can be used to forecast power load, securities
elman-load-forecast
- Elman神经网络的数据预测—电力负荷预测模型研究-Elman neural network data prediction- the power load forecasting model
ELmanduanqifuheyuce
- 基于Elman神经网络的电力负荷短期预测,具有较高的精度,训练速度较快,有效果图-Based on the Elman neural network power load the short-term forecast, has high precision, fast training speed, rendering
20041006
- 粒子群神经网络的预测编程实现,电力负荷预测本人已实现-Particle Swarm neural network predictive programming, I realized the power load forecast
pingfangzhishupinghua
- 采用平方指数平滑法对数据进行预测,可用于负荷预测等领域。-Using the square exponential smoothing method to forecast, it can be used for load forecasting.
ELMAN
- ELMAN神经网络的数据预测——电力负荷预测模型研究-ELMAN neural network data forecast model of electric power load forecasting
PSO-LSSVM-Load-Forecast
- PSO-LSSVM负荷预测程序,程序非常的详细规范,适合初学者-PSO-LSSVM Load Forecast
wbnbzvma
- 真的是一个好程序,可以广泛的应用于数据预测及数据分析,阐述了负荷预测的应用研究,最大似然(ML)准则和最大后验概率(MAP)准则,基于互功率谱的时延估计,是路径规划的实用方法,实现串口的数据采集。- Really is a good program, Can be widely used in data analysis and forecast data, It describes the application of load forecasting, Maximum Likelihood
load-prediction
- 根据给定的每15min预测一次的负荷数据,利用灰色预测GM(1,1)理论进行预测,并分别预测一周内周末和工作日的负荷变化情况,最终形成负荷变化曲线-According to the given load once every 15min forecast data, the gray prediction GM (1,1) theory to predict, and are predicted load changes within a week on weekends and weekday
LSSVM
- 用最小二乘支持向量机实现负荷预测功能,计算各个误差指标的值,并输出负荷预测对比曲线,误差曲线等(The load forecasting function is realized by least square support vector machines (LSSVM). The values of each error index are calculated, and the load forecast contrast curve and error curve are also ob
17869312EV-charging-load-forecast
- 电动汽车充电负荷预测,采用蒙特卡洛模拟方法matlab进行编程(electric vehicle charging load)
新建文件夹
- 预测一天的负荷,共预测24个点,间隔为一个小时,将预测的负荷与实际负荷相比较,求出其误差率,将满足要求的模型用于未来负荷预测(The daily load is predicted with a total of 24 points and an interval of one hour. The predicted load is compared with the actual load and its error rate is calculated. The model meeting
household_power_consumption
- household_power_consumption