Wavelet-based lossy compression can reduce smart-grid sensor data by up to 99% without degrading XGBoost forecasts, but linear models break under the train/test mismatch.
Time series compression survey
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CE 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Data Compression for Time Series Modelling: A Case Study of Smart Grid Demand Forecasting
Wavelet-based lossy compression can reduce smart-grid sensor data by up to 99% without degrading XGBoost forecasts, but linear models break under the train/test mismatch.