Arcadia Power, Inc.

Opower, Inc.

Nancy Hersh

Shannon Bauman

Kiran Bhatraju

Owen Quinlan

Lawrence Han

Suryaveer Lodha

Daniel Bloomfield Ramagem

Kristy Mayer

Rachel Zuraw

Implementations of the disclosed subject matter may provide a method includes determining, at a server, average historical usage of energy by a user based on received energy usage data. The server may determine at least one available energy usage plan from one or more energy providers based on the determined average historical usage of energy and by determining available energy rate structures. The server may determine an optimized energy usage from the one or more energy providers based on the determined at least one available energy usage plan. The method may include controlling, at the server, one or more setting of an energy usage device based on the determined optimized energy usage and a selected energy usage plan from the determined at least one energy usage plan.

Methods of optimizing energy usage from energy suppliers

Aspects of the subject technology relate to methods and systems for calculating a customer activity score (CAS). In some aspects, a method of the subject technology includes steps including aggregating behavior information for each of a plurality of utility customers, the behavior information including historic consumption data for at least one consumable resource, and calculating, and using the behavior information, a customer activity score (CAS) for one or more of the utility customers. In some aspects, the method can also include steps for generating customer content for at least one of utility customers based on a corresponding CAS value. In some aspects, systems and computer-readable media are provided.

Customer activity score

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Washington, DC, United States of America

Nancy Hersh