摘要
分析了多水电地区网供负荷的特点,利用相关性分析方法及人工神经网络对多小水电地区的网供负荷短期预测进行研究,并对某多小水电地区开展网供负荷预测实例模拟,预测结果验证了方法的有效性和实用性。
This paper analyzes main characteristics of connected load in regions with plenty of small hydropower stations and investigates short-term forecast of the connected load by correlation analysis and artificial neural network. In addition, the paper simulates connected load in regions with plenty of small hydropower stations. The forecast result demonstrates the effectiveness and practicality of the method.
出处
《浙江电力》
2015年第12期7-10,共4页
Zhejiang Electric Power
关键词
短期负荷预测
网供负荷
小水电负荷
人工神经网络
BP算法
MATLAB程序
short-term load forecast
connected load
load of small hydropower stations
artificial neural networks
back propagation algorithm
matlab program
