SYSTEMS AND METHODS FOR ENERGY CONSUMPTION AND ENERGY DEMAND MANAGEMENT
First Claim
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1. A computer-implemented method comprising:
- collecting energy interval data associated with a building at a time interval;
collecting local historical weather data associated with the building;
creating a statistical model for predicting energy use as a function of weather and operational inputs, the statistical model created based on the energy interval data and upon the local historical weather data;
analyzing paired energy interval data and local historical weather data according to one or more analytic algorithms, using the model; and
providing one or more options to reduce energy bills of the building based on the analysis.
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Abstract
Various of the disclosed embodiments contemplate a computer-implemented method of energy consumption and energy demand management in a building. In accordance with some embodiments, interval energy data of a specific building may be collected with a fixed time interval and paired with local historical weather data and other forms of operational data, as well as financial data including historical utility bills, utility rate structures and billing cycle dates. Paired energy interval data and the local historical weather data may be analyzed according to one or more analytic algorithms.
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Citations
22 Claims
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1. A computer-implemented method comprising:
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collecting energy interval data associated with a building at a time interval; collecting local historical weather data associated with the building; creating a statistical model for predicting energy use as a function of weather and operational inputs, the statistical model created based on the energy interval data and upon the local historical weather data; analyzing paired energy interval data and local historical weather data according to one or more analytic algorithms, using the model; and providing one or more options to reduce energy bills of the building based on the analysis. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for energy consumption and energy demand management, the system comprising:
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one or more processors in a cloud-based platform; and instructions encoded in one or more computer readable media, wherein said instructions when executed using said one or more processors, cause the cloud-based platform to perform operations comprising; collecting energy interval data of a building with a fixed time interval; collecting local historical weather data associated with the building; creating a statistical model of building energy use based on local weather; analyzing paired energy interval data and local historical weather data according to one or more analytic algorithms; and providing one or more options to reduce energy bills of the building based on the analysis. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A system for energy consumption and energy demand management comprising:
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a rate engine configured to simulate utility tariff logic; one or more processors in a cloud-based platform; and instructions encoded in one or more computer readable media, wherein said instructions when executed using said one or more processors, cause the system to perform operations comprising; collecting energy interval data of a building with a fixed time interval; collecting local historical weather data associated with the building; creating a statistical model of building energy use based on local weather; analyzing paired energy interval data and local historical weather data according to one or more analytic algorithms; and providing one or more options to reduce energy bills of the building based on the analysis and based upon utility tariff logic generated by the rate engine. - View Dependent Claims (20)
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21. A computer-implemented method for performing pattern recognition of building energy data, comprising:
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receiving building energy usage data; standardizing the data; performing high or low pass filtering of the data; characterizing mathematically the data to a higher-level description of energy use features; classifying the higher-level description as one of a plurality of pattern classes; and assigning a severity score.
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22. A computer-implemented method for performing measurement and verification of building energy data, comprising:
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calculating weather adjusted seasonality trends; forecast seasonality trends using time series models; fit a model to a post-project period data, the post-project period data comprising time and temperature interaction terms; and estimate program impact using a simulation technique.
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Specification