搜索资源列表
AIandPredict
- 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
BP11
- a BP networks for power electricy load forecast
RELIABILLITY
- INTERCONNECTED SYSTEM GENERATING CAPACITY RELIABILITY EVALUATION -The uncertainty associated with a System load forecast can be incorporated in the two area interconnected study. The method of evaluating risk levels in two interconnected systems can
LinearReg
- 一元线性回归预测电力负荷的模块（带实例应用）-Linear regression to forecast the electricity load modules (with examples of applications)
NoneLinear
- 非线性回归预测电力负荷VB模块（带实例）-Non-linear regression to forecast the electricity load VB modules (with examples)
forecasting-methods
- 两种负荷预测的方法：基于时间序列频域分析的内蕴误差评价预报和灰色预测-Two load forecasting methods: the intrinsic error frequency domain analysis of time series-based evaluation of forecasting and the gray forecast
Uneural610s
- 采用神经网络训练,预预测某地区用电负荷源程序 -The neural network training, pre-forecast of a regional electricity load source
FHYC
- 人工网络法预测电力负荷的编程，利用VB等面向对象语言实现-This procedure is a simple to use VB first load forecast data fitting procedure, C preparation.
96point-load-forecast
- 基于小波神经网络时间序列的96点电力负荷预测matlab代码-load forecast
AI
- Bp神经网络的各种例子几个，希望能够帮组到大家，包括负荷预测，经济调度，电厂出力预测-Various examples of several Bp neural network , hoping to help the group to everyone , including load forecasting, economic dispatch , power output forecast , etc.
forcast-with-arima
- forecast peak load with arima m file matlab
Ev
- 电动汽车充电负荷预测，分私家车、出租车、公交车-Electric vehicle charging load forecast, sub private cars, taxis, buses
final
- 电力系统短期符合预测，输入数据为地区的以往负荷曲线以及气象数据，考虑节假日的影响，使用ANN、SVM和倍比平滑法进行预测。-Short Term forecast in line with the input data for the previous load curve and meteorological data area, consider the impact of the holidays, the use of ANN, SVM and smoothing times highe
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)
ga_microgrid_dayahead
- 考虑微网发电成本的经济性，以微型燃气轮机发电成本、 储能运行维护成本和微网与主网之间买、卖电的交互成本为系统总成本，以电力平衡及机组运行的相关约束为模型的约束条件，建立使系统的总成本最低为目标函数的日前经济优化调度模型。 日前经济优化调度一般以 24 小时为调度周期，电网的调度中心根据次日调度周期内的负荷以及可再生能源出力预测数据，提前安排次日每个小时内发电机机组或储能设备等的出力情况以及要从上层电网购买或售出的电量，以达到发电成本最小或收益最大的目的。(Considering the econ
BP负荷预测
- 利用神经网络算法进行负荷的预测，选取若干天的预测数据，来预测接下来几天的负荷数据(The neural network algorithm is used to forecast the load. The forecasting data of several days are selected to forecast the load data of the next few days)