Systems and methods for processing data relating to energy usage

Abstract

Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]The present application claims priority from U.S. Provisional Patent Application Ser. No. 61 / 897,159, filed Oct. 29, 2013, entitled “SYSTEMS AND METHODS FOR PROCESSING DATA RELATING TO ENERGY USAGE,” which is incorporated in its entirety herein by reference.FIELD OF THE INVENTION[0002]The present invention relates to the field of energy management and, more particularly, processing of data relating to energy usage.BACKGROUND[0003]Conventional energy management tools are intended to help companies track energy usage. For example, such tools may collect certain types of energy-related information, including billing statements and energy meter readings. The collected information may be used to understand energy usage. Such tools may also generate reports that detail energy-related information and usage. The reports may be used to identify a possible need for energy savings initiatives.[0004]Conventional energy management tools are often prov...

AI Technical Summary

Benefits of technology

[0022]In an embodiment, additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Problems solved by technology

Custom implementations can require considerable upfront expense and delay associated with purchase and maintenance of various hardware and software packages.

Further, custom implementations can necessitate significant expense and complication in the integration of disparate software packages as well as challenges in connecting to required data sources.

Custom implementations likewise can be difficult to maintain and upgrade.

In addition, the functionality of a custom implementation is often limited given the narrow scope of its intended purpose.

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