Inventory Forecast of Electric Vehicles in China during the Twelfth Five-Year Plan Period Using Bass Model Optimized by Particle Swarm Optimization

Ming Zeng; Xiaohui Zhan; Song Xue; Mingjuan Ma; Yulong Li

首页> 外文期刊>Journal of Applied Sciences >Inventory Forecast of Electric Vehicles in China during the Twelfth Five-Year Plan Period Using Bass Model Optimized by Particle Swarm Optimization

【24h】

Inventory Forecast of Electric Vehicles in China during the Twelfth Five-Year Plan Period Using Bass Model Optimized by Particle Swarm Optimization

机译：基于粒子群优化的Bass模型预测“十二五”期间我国电动汽车库存预测。

获取原文

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Large-scale development of electric vehicles plays a significance positive role in promoting the balance of power peak load and increasing employment rates, so forecasting electric vehicle inventory accurately is significant for adjusting relevant industr

机译：电动汽车的大规模发展对于促进电力高峰负荷的平衡和增加就业率具有重要的积极作用，因此准确预测电动汽车的库存对于调整相关产业具有重要意义。

著录项

来源
《Journal of Applied Sciences》 |2013年第21期|共5页
作者
Ming Zeng; Xiaohui Zhan; Song Xue; Mingjuan Ma; Yulong Li;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种
中图分类农业科学;
关键词

相似文献

外文文献
中文文献
专利

1. Inventory Forecast of Electric Vehicles in China during the Twelfth Five-Year Plan Period Using Bass Model Optimized by Particle Swarm Optimization [J] . Ming Zeng, Xiaohui Zhan, Song Xue, Journal of Applied Sciences . 2013,第21期

机译：基于粒子群优化的Bass模型预测“十二五”期间我国电动汽车库存预测。
2. The research on electric load forecasting based on nonlinear gray bernoulli model optimized by cosine operator and particle swarm optimization [J] . Li Wei, Lu Can, Liu Shuai Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2016,第6期

机译：基于余弦算子和微粒群优化的非线性灰色伯努利模型的电力负荷预测研究
3. A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Network Optimized by Chaos Particle Swarm Optimization for Day-Ahead Electricity Price [J] . ZhilongWang, FengLiu, JieWu, Abstract and applied analysis . 2014,第15期

机译：基于二元划分的混合预测模型及对消费者粒子群优化的基于Bifariate划分的反向化人工神经网络，对现代电价进行了优化
4. LEAST SQUARES SUPPORT VECTOR MACHINE MODEL OPTIMIZED BY PARTICLE SWARM OPTIMIZATION FOR ELECTRICITY PRICE FORECASTING [C] . Szu-Lin Su, rnNan-Yang Yen, rnSheng-Cheng Hsieh First international conference on technology innovation, risk management and supply chain management (TIRMSCM 2007) . 2007

机译：用粒子群优化算法优化电价预测的最小二乘支持向量机模型
5. Path planning of unmanned aerial vehicles using particle swarm optimization and B-spline curves [D] . Eslam Pour, Naser 2009

机译：基于粒子群算法和B样条曲线的无人机飞行路径规划
6. Greedy Mechanism Based Particle Swarm Optimization for Path Planning Problem of an Unmanned Surface Vehicle [O] . Junfeng Xin, Jiabao Zhong, Shixin Li, 2019

机译：基于贪婪机制的粒子群算法在无人飞行器路径规划中的应用
7. A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Network Optimized by Chaos Particle Swarm Optimization for Day-Ahead Electricity Price [O] . Zhilong Wang, Feng Liu, Jie Wu, 2014

机译：基于二元划分的混合预测模型及对消费者粒子群优化的基于Bifariate划分的反向化人工神经网络，对现代电价进行了优化

Inventory Forecast of Electric Vehicles in China during the Twelfth Five-Year Plan Period Using Bass Model Optimized by Particle Swarm Optimization

摘要

著录项

相似文献

相关主题

期刊订阅