Simplicity over complexity...

AI researchers recently published a 2025 paper throwing a 'Chernobyl-Disaster-Optimized CNN-LSTM & SVR hybrid' at natural gas forecasting. I was curious, so I tested it against a classic XGBoost model.

XGBoost won.

If you want to see exactly why simpler machine learning still matters in real-world time-series forecasting, I broke down the methodology and the results here: Article