Model 2.5
- Citation Author(s):
- Submitted by:
- Konstantinos Theodorakos
- Last updated:
Abstract
Model 2.5
Clustered-meter average monthly ratios
Monthly (kWh) consumption clustering:
1. Twelve clustering models (one per month of signup): K-medoids Clustering
2. Clustering using (daily kWh) consumption extracted features. Cluster count set to 4.
Features (170) from weekend/weekday and full series:
- Statistical: median, variance, quantiles, ...
- Time-series: autocorrelations, trends, seasonalities, ...
Forecasting for a meter: Using the mean montly consumption + in-cluster month-to-month ratios.
