Published February 9, 2024 | Version Ver 1
Dataset Open

Datasets and Codesets for "Wavelet Decomposition and Neural Networks: A Potent Combination for Short Term Wind Speed and Power Forecasting"

  • 1. Texas A&M
  • 2. ROR icon Huazhong University of Science and Technology
  • 3. Syracuse University
  • 4. ROR icon Georgia Institute of Technology

Description

This is the datasets and codesets used in the paper:

A. E. Kio, J. Xu, N. Gautam, and Y. Ding, 2024, “Wavelet decomposition and neural networks: A potent combination for short term wind speed and power forecasting,” Frontiers in Energy Research, section of Wind Energy, Vol. 12, pp. 1277464. 

The PDF file, "Reproducibility Report," explains how to reproduce the results in the tables and figures.

Files

Codesets.zip

Files (109.8 MB)

Name Size Download all
md5:d4e69ac7e6a0038fa65443fb4f27e22a
71.7 kB Preview Download
md5:0b727691ecb9df1a6cec6a305d4fd4e4
109.6 MB Preview Download
md5:92e8ce4f3a656a85cb2b015243586413
99.9 kB Preview Download

Additional details

References

  • A. E. Kio, J. Xu, N. Gautam, and Y. Ding, 2024, "Wavelet decomposition and neural networks: A potent combination for short term wind speed and power forecasting," Frontiers in Energy Research, section of Wind Energy, Vol. 12, pp. 1277464