Model 2.2
- Citation Author(s):
- Submitted by:
- Konstantinos Theodorakos
- Last updated:
Abstract
Smart Meters IEEE contest
Model 2.2
Clustered-meter average monthly ratios
Monthly (kWh) consumption clustering:
1. Twelve clustering models (one per month of signup): Spectral Clustering with nearest neighbors.
2. Clustering using (daily kWh) consumption extracted features. Cluster count set to 2-23: final count is decided by maximum silhouette score of manhattan distances.
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.
