首页> 外文OA文献 >Forecasting of Energy Consumption in China Based on Ensemble Empirical Mode Decomposition and Least Squares Support Vector Machine Optimized by Improved Shuffled Frog Leaping Algorithm

【2h】

Forecasting of Energy Consumption in China Based on Ensemble Empirical Mode Decomposition and Least Squares Support Vector Machine Optimized by Improved Shuffled Frog Leaping Algorithm

机译：基于整体经验模式分解的中国能源消耗预测及其最小二乘支持向量机改进改进的减少青蛙跳跃算法

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Shuyu Dai; Dongxiao Niu; Yan Li;
展开▼
作者单位

展开▼
年度 2018
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Short-Term Load Forecasting based on Variational Mode Decomposition and Least Squares Support Vector Machine by Improved Artificial Fish Swarm-Shuffled Frog Jump Algorithms [J] . Haizhu Yang, Zhaoyang Jiang, Menglong Li, International Journal of Performability Engineering . 2019,第12期

机译：基于变分模式分解的短期负荷预测和改进的人工鱼类群Shuff-Shuffled Frog跳跃算法
2. Parameter identification and prediction of Jiles–Atherton model for DC-biased transformer using improved shuffled frog leaping algorithm and least square support vector machine [J] . Wang Fenghua, Geng Chao, Su Lei Electric Power Applications, IET . 2015,第9期

机译：改进的蛙跳算法和最小二乘支持向量机在直流偏置变压器Jiles-Atherton模型参数辨识及预测中的应用
3. A Short-Term Load Forecasting Model with a Modified Particle Swarm Optimization Algorithm and Least Squares Support Vector Machine Based on the Denoising Method of Empirical Mode Decomposition and Grey Relational Analysis [J] . Dongxiao Niu, Shuyu Dai Energies . 2017,第3期

机译：改进的粒子群优化算法和最小二乘支持向量机的经验模态分解和灰色关联度去噪短期负荷预测模型
4. Application of Improved Support Vector Machine Based on Shuffled Frog Leaping Algorithm in Wind-Photovoltaic-Battery Power Forecasting [C] . Wei Li, Jin Pang, Qian Niu, International Conference on Intelligent Human-Machine Systems and Cybernetics . 2015

机译：基于改组蛙跳算法的改进支持向量机在风光电池电量预测中的应用
5. Application of least squares support vector machines in medium-term load forecasting. [D] . Afshin, Mohammadreza. 2007

机译：最小二乘支持向量机在中期负荷预测中的应用。
6. Identification of Shearer Cutting Patterns Using Vibration Signals Based on a Least Squares Support Vector Machine with an Improved Fruit Fly Optimization Algorithm [O] . Lei Si, Zhongbin Wang, Xinhua Liu, 2016

机译：基于最小二乘支持向量机和改进果蝇优化算法的振动信号识别采煤机切割模式
7. Short-Term Load Forecasting based on Variational Mode Decomposition and Least Squares Support Vector Machine by Improved Artificial Fish Swarm-Shuffled Frog Jump Algorithms [O] . Yang Haizhu, Jiang Zhaoyang, Li Menglong, 2019

机译：基于变分模式分解的短期负荷预测和改进的人工鱼类群组合青蛙跳跃算法的基于变分模式分解和最小二乘支持向量机

Forecasting of Energy Consumption in China Based on Ensemble Empirical Mode Decomposition and Least Squares Support Vector Machine Optimized by Improved Shuffled Frog Leaping Algorithm

著录项

引文网络

相似文献

相关主题

期刊订阅