Review on various models for time series forecasting

机译：审查各种模型进行时间序列预测

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The uncertainty in the time series data like wind speed, network traffic, stock price etc. makes the prediction of these data a very tedious task. In order to improve the performance of prediction, several models have been invented. In this paper, some of the models like autoregressive models and Holt-Winters have been discussed. Further, the various steps involved in obtaining the results and comparing the performance of above model have been examined.

机译：风速，网络流量，股票价格等时间序列数据的不确定性使得对这些数据的预测非常繁琐。为了提高预测性能，已经发明了几种模型。在本文中，讨论了一些模型，例如自回归模型和Holt-Winters。此外，已经检查了获得结果和比较上述模型的性能所涉及的各个步骤。

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来源
《》|2017年|405-410|共6页
会议地点 Coimbatore(IN)
作者
Priyamvada; Rajesh Wadhvani;
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作者单位

Dept. of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal - 462003, India;

Dept. of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal - 462003, India;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Time series analysis; Forecasting; Computational modeling; Data models; Predictive models; Atmospheric modeling; Market research;

机译：时间序列分析预测计算模型数据模型预测模型大气模型市场研究;

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2. Hybrid structures in time series modeling and forecasting: A review [J] . Hajirahimi Zahra, Khashei Mehdi Engineering Applications of Artificial Intelligence . 2019,第Nova期

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3. Real-time correction of water stage forecast using combination of forecasted errors by time series models and Kalman filter method [J] . Shen Jhih-Cyuan, Chang Che-Hao, Wu Shiang-Jen, Stochastic environmental research and risk assessment . 2015,第7期

机译：利用时间序列模型和卡尔曼滤波方法结合预测误差对水位预测进行实时校正
4. Review on various models for time series forecasting [C] . Priyamvada, Rajesh Wadhvani International Conference on Inventive Computing and Informatics . 2017

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7. Peer Review #3 of "A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms (v0.1)" [O] . 2021

机译：同行评论“通过组合K-Means集群和时间序列预测算法（V0.1）”的“基于学习预测程序的新模型”中的＃3。
8. Topics in Time Series Analysis. I. Review of Time Series Models and Their Forecasts. [R] . Ledolter, J., Box, G. E. P. 1975

机译：时间序列分析的主题。一，时间序列模型及其预测的回顾。

Review on various models for time series forecasting

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