Oracle Corporation
MACHINE LEARNING PREDICTIVE MODEL BASED ON ELECTRICITY LOAD SHAPES

Abstract:

Systems, methods, and other embodiments associated with a machine learning predictive model for predicting a propensity to implement energy reduction settings are described. Data records including load data for a target group of dwellings is obtained. An empirical load shape is generated for each given target dwelling based on the load data. A target feature vector is generated for each given target dwelling based on at least the empirical load shape corresponding to the given target dwelling. A trained machine learning predictive model is executed on the target feature vectors of the target group of dwellings to identify a set of target dwellings that are likely to reduce electricity consumed in accordance with electricity settings based on at least a generated predicted propensity for a target dwelling to implement the electricity settings.