Preprocessed GEFCom 2012 Wind Power Forecasting Dataset

This repository contains a preprocessed dataset derived from the Global Energy Forecasting Competition 2012 (GEFCom 2012) - Wind Power Forecasting Track. GEFCom is a renowned competition series that aims to advance the state-of-the-art in energy forecasting.The raw data underwent a comprehensive preprocessing pipeline to enhance its quality and applicability for machine learning tasks. Key preprocessing steps include:1. **Basic Preprocessing:** Handling missing values (bfill then ffill), engineering time-related features (Year, Month, Day, Hour) from 'predict_date', and normalizing these time features to a [-0.5, 0.5] range.2. **Wavelet Denoising:** Application of Discrete Wavelet Transform (db4 wavelet, level 1, soft thresholding) to reduce noise and highlight underlying trends in the time-series data.3. **Standardization:** Independent standardization of features and the target variable ('wp') using StandardScaler, with the scalers saved for consistent future use.The original dataset fields included: date, predict_date, u, v, ws, wd, wp.The final features used for model input after preprocessing are: u, v, ws, wd, wp, Year, Month, Day, Hour.This processed dataset is suitable for research and development in wind power forecasting models, offering a clean and standardized input for machine learning algorithms.