time-series-decomposition-using-wavelet-and-fourier-transforms-for-enhanced-solar-flare-forecasting
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Repository
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- Host: GitHub
- Owner: dasjar
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.2 MB
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Metadata Files
readme.md
Time Series Decomposition for Enhanced Solar Flare Forecasting
This repository supports the paper:
"Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting"
Victor Solomon, Omkar Rayala, Manya Rampuria, Abdul Afrid, Junzhi Wen, Rafal Angryk
Department of Computer Science, Georgia State University
Overview
This project investigates how frequency-based time series decomposition can improve multivariate solar flare prediction. We apply four transformation methods:
- Haar Wavelet Transform (HWT)
- Symlet Wavelet Transform (SWT)
- Daubechies Wavelet Transform (DWT)
- Discrete Fourier Transform (DFT)
We evaluate the effectiveness of these transforms on both lossless and lossy time series reconstructions using two classifiers:
- Time Series Forest (TSF) for time series data
- Random Forest (RF) for decomposed, non-time-series (NTS) data
Experiments
Experiment I: TS Reconstruction Impact
We assess the performance of TSF trained on: - Original data - Lossless reconstructed data - Lossy reconstructed data (based on 20dB SNR filtering)
Metrics: TSS and HSS2
Experiment II: TS vs NTS Representations
We compare: - TSF (trained on full and reduced TS) - RF (trained on decomposed NTS)
Time windows tested: 720, 320, 96, and 48 minutes (60, 30, 8, 4 timepoints respectively)
Installation
- Clone the repository: ```bash git clone https://github.com/dasjar/Time-Series-Decomposition-Using-Wavelet-and-Fourier-Transforms-for-Enhanced-Solar-Flare-Forecasting.git
Citation
@inproceedings{solomon2025wavelet, title={Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting}, author={Solomon, Victor and Wen, Junzhi and Angryk, Rafal and Rampuria, Manya and Rayala, Omkar and Afrid, Abdul}, booktitle={The International FLAIRS Conference Proceedings}, volume={38}, number={1}, year={2025} }
Owner
- Name: Victor Solomon
- Login: dasjar
- Kind: user
- Location: Abuja, NIgeria
- Repositories: 1
- Profile: https://github.com/dasjar
I'm a software developer. my core languages are: Javasript, Python and Java. my interests are: Big data, Analytics, Machine learning and software development.
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