Model 1.1
- Citation Author(s):
-
Konstantinos Theodorakos
- Submitted by:
- Konstantinos Theodorakos
- Last updated:
Abstract
Model 1.1
Gradient Boosted Trees (Python xgboost library)
Monthly (kWh) consumption forecasting?
1. Twelveregression models (one per month).
2. Regressionusing (daily kWh) consumption extracted features.F
rom weekend/weekday and full series:
Statistical: median, variance, quantiles, ...
Time-series: autocorrelations, trends, seasonalities, ..
Regression model training: 60% (train),20% (validation), 20% (test).
Change vs Model 1: Linear interpolation on the y labels.
