Record Details

Agricultural commodity price analysis using ensemble empirical mode decomposition: A case study of daily potato price series

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Agricultural commodity price analysis using ensemble empirical mode decomposition: A case study of daily potato price series
Not Available
 
Creator Kapil Choudhary
Girish Kumar Jha
Rajeev R Kumar
Dwijesh Chandra Mishra
 
Subject EMD
IMF
Artificial intelligence technique
 
Description Not Available
Due to multifaceted nature of agricultural price series, conventional mono-scale smoothing approaches are unable to catch its nonstationary and nonlinear properties. Recently, empirical mode decomposition (EMD) has been proposed as a new tool for time-frequency analysis method, which adaptively represents nonstationary signals as sum of different components. The essence of EMD is to decompose a time series into a sum of intrinsic mode function (IMF) components with individual intrinsic time scale properties. One of the major drawbacks of the EMD is the frequent appearance of mode mixing. Ensemble EMD (EEMD) is a substantial improvement of EMD which can better separate the scales naturally by adding white noise series to the original time series and then treating the ensemble averages as the true intrinsic modes. In this paper, daily price data of potato in Bangalore and Delhi markets are decomposed into eight independent intrinsic modes and one residue with different frequencies, indicating some interesting features of price volatility. Further, decomposed IMFs and residue obtained through EEMD are grouped into high frequency, low frequency and a trend component which has similar frequency characteristics, using the fine-to-coarse reconstruction algorithm. These IMF and residue can be used for prediction using any traditional or artificial intelligence technique.
Not Available
 
Date 2023-03-02T04:17:37Z
2023-03-02T04:17:37Z
2019-05-10
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/76537
 
Language English
 
Relation Not Available;
 
Publisher Not Available