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Review on various models for time series forecasting
- Source :
- 2017 International Conference on Inventive Computing and Informatics (ICICI).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- 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.
Details
- Database :
- OpenAIRE
- Journal :
- 2017 International Conference on Inventive Computing and Informatics (ICICI)
- Accession number :
- edsair.doi...........8cc4d0f4c3f89f854f78bcaf2ed26c66