Model 2.3

Model 2.3 Clustered-meter average monthly ratios Monthly (kWh) consumption clustering: 1. Twelve clustering models (one per month of signup): Agglomerative Clustering2. Clustering using (daily kWh) consumption extracted features. Cluster count set to 5-12: final count is decided by maximum silhouette score of euclidean 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.