首页> 外文OA文献 >Forecasting of Electricity Load Based on Improved Particle Swarm Optimization and Support Vector Regression Machine

【2h】

Forecasting of Electricity Load Based on Improved Particle Swarm Optimization and Support Vector Regression Machine

机译：基于改进粒子群优化和支持向量回归机的电力负荷预测

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
Limei Liu;
展开▼
作者单位

展开▼
年度 2015
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. Improved Support Vector Machine Short-term Power Load Forecast Model Based on Particle Swarm Optimization Parameters [J] . Xiaopeng Guo, Xiaodan Guo, Juan Su Journal of Applied Sciences . 2013,第9期

机译：基于粒子群优化参数的改进支持向量机短期电力负荷预测模型
2. Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting [J] . AL-Musaylh Mohanad S., Deo Ravinesh C., Li Yan, Applied Energy . 2018,第MAY1期

机译：结合改进的经验模式分解和自适应噪声的两相粒子群优化支持向量回归混合模型用于多水平电力需求预测
3. Short-term Load Forecasting based on Support Vector Machine Optimized by Catfish Particle Swarm Optimization Algorithm [J] . Xiaoyan SHi, Zhenbi Li International Journal of Applied Mathematics & Statistics . 2013,第18aPta2期

机译：基于鲶鱼粒子群优化算法优化支持向量机的短期负荷预测
4. Forecasting of Electricity Load Based on Improved Particle Swarm Optimization and Support Vector Regression Machine [C] . Limei Liu International Conference on Test, Measurement and Computational Methods . 2016

机译：基于改进粒子群优化和支持向量回归机的电力负荷预测
5. An application of least squares support vector regression with regrouping particle swarm optimzation. [D] . Sun, Chaohui. 2011

机译：最小二乘支持向量回归与重组粒子群算法的应用。
6. Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimization for Property Crime Rates Forecasting with Economic Indicators [O] . Razana Alwee, Siti Mariyam Hj Shamsuddin, Roselina Sallehuddin 2013

机译：粒子群优化的混合支持向量回归与自回归综合移动平均模型的经济指标预测财产犯罪率
7. Forecasting Short-term Electricity Demand in Residential Sector Based on Support Vector Regression and Fuzzy-rough Feature Selection with Particle Swarm Optimization [O] . Son Hyojoo, Kim Changwan 2015

机译：基于支持向量回归和粒子群优化的模糊粗糙特征选择的住宅短期电力需求预测

Forecasting of Electricity Load Based on Improved Particle Swarm Optimization and Support Vector Regression Machine

著录项

引文网络

相似文献

相关主题

期刊订阅