首页> 外文OA文献 >Forecasting Short-term Electricity Demand in Residential Sector Based on Support Vector Regression and Fuzzy-rough Feature Selection with Particle Swarm Optimization

【2h】

Forecasting Short-term Electricity Demand in Residential Sector Based on Support Vector Regression and Fuzzy-rough Feature Selection with Particle Swarm Optimization

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

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
Son Hyojoo; Kim Changwan;
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. Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression [J] . Zhongyi Hu, Yukun Bao, Tao Xiong Applied Soft Computing . 2014,第Null期

机译：基于支持向量回归的基于综合学习粒子群优化的模因算法在短期负荷预测中的模型选择
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. Particle Swarm Optimized–Support Vector Regression Hybrid Model for Daily Horizon Electricity Demand Forecasting Using Climate Dataset [J] . S AL-Musaylh Mohanad, C Deo Ravinesh, Li Yan E3S Web of Conferences . 2018,第3期

机译：基于气候数据集的粒子群优化-支持向量回归混合模型用于日水平电需求预测
4. Forecasting Short-term Electricity Demand in Residential Sector Based on Support Vector Regression and Fuzzy-rough Feature Selection with Particle Swarm Optimization [C] . Hyojoo Son, Changwan Kim International Conference on Sustainable Design, Engineering and Construction . 2015

机译：基于支持向量回归和模糊粗略特征选择，预测住宅扇区短期电力需求与粒子群优化
5. Feature Selection, Flaring Size and Time-to-Flare Prediction Using Support Vector Regression, and Automated Prediction of Flaring Behavior Based on Spatio-Temporal Measures Using Hidden Markov Models [D] . Al-Ghraibah, Amani 2015

机译：支持向量回归的特征选择，火炬大小和火炬发射时间预测，以及基于时空测度的隐马尔可夫模型自动预测火炬行为
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 of Electricity Load Based on Improved Particle Swarm Optimization and Support Vector Regression Machine [O] . Limei Liu 2015

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

Forecasting Short-term Electricity Demand in Residential Sector Based on Support Vector Regression and Fuzzy-rough Feature Selection with Particle Swarm Optimization

著录项

引文网络

相似文献

相关主题

期刊订阅