本发明公开了一种基于HHOLSTM的客户侧柔性负荷预测系统,由四个功能模块组成的,包括:(1)数据分析和预处理模块;(2)基于HHO的模型参数寻优模块;(3)基于LSTM算法的预测模块.(4)对于客户信息和数据集的管理模块.本发明采用HHO对LSTM进行参数寻优,然后使用寻找到的最优参数和对应的模型对客户侧柔性负荷数据进行预测,并且...
对电力系统造成的冲击和影响,从而为构建环境友好型社会做出贡献.本文的主要工作和创新结果包括: (1)基于一种IHHO-LSTM电力负荷预测模型,用于解决负荷预测精度不准确... 电气工程 - 《河北科技大学》 被引量: 0发表: 0年 一种考虑新能源接入的共享储能在日内市场的优化调度策略 本发明公开了一种考虑新能源接入的...
一种基于HHO-LSTM的客户侧柔性负荷预测系统专利信息由爱企查专利频道提供,一种基于HHO-LSTM的客户侧柔性负荷预测系统说明:本发明公开了一种基于HHO‑LSTM的客户侧柔性负荷预测系统,由四个功能模块组成的,包括:(1...专利查询请上爱企查
CNN-LSTM多监测点水质预测模型中的历史序列长度,卷积核数量,LSTM层神经元数量,隐藏层神经元数量和学习率,并比较3种优化算法的效果.结果显示,Hyperband的运行时间较短,但优化效果较差;在粒子数量和迭代次数设置相同的情况下,哈里斯鹰优化算法优于粒子群优化算法,WT-CNN-LSTM-HHO的RMSE为1.3807,MAE为1.0300,MAPE为...
Secondly, the LSTM and SVR are optimized by the Harris hawks optimization (HHO) algorithm and modified least square (PLS) method to mine the major influencing factors and establish the prediction model with higher precision. Finally, the proposed model and other models are applied to predict the...
Secondly, the LSTM and SVR are optimized by the Harris hawks optimization (HHO) algorithm and modified least square (PLS) method to mine the major influencing factors and establish the prediction model with higher precision. Finally, the proposed model and other models are applied to predict the...
Secondly, the LSTM and SVR are optimized by the Harris hawks optimization (HHO) algorithm and modified least square (PLS) method to mine the major influencing factors and establish the prediction model with higher precision. Finally, the proposed model and other models are applied to predict the...
Secondly, the LSTM and SVR are optimized by the Harris hawks optimization (HHO) algorithm and modified least square (PLS) method to mine the major influencing factors and establish the prediction model with higher precision. Finally, the proposed model and other models are applied to predict the...
Secondly, the LSTM and SVR are optimized by the Harris hawks optimization (HHO) algorithm and modified least square (PLS) method to mine the major influencing factors and establish the prediction model with higher precision. Finally, the proposed model and other models are applied to predict the...
Secondly, the LSTM and SVR are optimized by the Harris hawks optimization (HHO) algorithm and modified least square (PLS) method to mine the major influencing factors and establish the prediction model with higher precision. Finally, the proposed model and other models are applied to predict the...