TOTAL PROPERTY OPTIMIZATION SYSTEM FOR ENERGY EFFICIENCY AND SMART BUILDINGS
First Claim
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1. A method for managing one or more buildings, comprising:
- collecting historical building data, real-time building data, historical exogenous data, and real-time exogenous data;
receiving the collected data at an adaptive stochastic controller; and
with the adaptive stochastic controller;
identifying trends based on the collected data of the one or more buildings;
generating at least one of a predicted condition with a predictive model;
generating one or more executable recommendations based on the predicted condition and one or more performance measurements corresponding to the executable recommendations;
displaying on a graphical user interface the one or more trends based on the collected data of the one or more buildings, the one or more predicted conditions, and the one or more executable recommendations; and
generating suggestions to an operator via the graphical user interface to manually steer a floor condition of the said one or more buildings in response to the one or more trends, predicted conditions, or executable recommendations displayed on the graphical user interface.
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Abstract
Techniques for managing one or more buildings, including collecting historical building data, real-time building data, historical exogenous data, and real-time exogenous data and receiving the collected data at an adaptive stochastic controller. The adaptive stochastic controller can generate at least one predicted condition with a predictive model. The adaptive stochastic controller can generate one or more executable recommendations based on at least the predicted conditions and one or more performance measurements corresponding to the executable recommendations.
121 Citations
18 Claims
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1. A method for managing one or more buildings, comprising:
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collecting historical building data, real-time building data, historical exogenous data, and real-time exogenous data; receiving the collected data at an adaptive stochastic controller; and
with the adaptive stochastic controller;identifying trends based on the collected data of the one or more buildings; generating at least one of a predicted condition with a predictive model; generating one or more executable recommendations based on the predicted condition and one or more performance measurements corresponding to the executable recommendations; displaying on a graphical user interface the one or more trends based on the collected data of the one or more buildings, the one or more predicted conditions, and the one or more executable recommendations; and generating suggestions to an operator via the graphical user interface to manually steer a floor condition of the said one or more buildings in response to the one or more trends, predicted conditions, or executable recommendations displayed on the graphical user interface. - View Dependent Claims (2, 3, 4, 5, 6)
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- 7. The method of 1, further comprising identifying trends in the one or more building conditions and generating a predicted condition for each building condition, and displaying the identified trends and the predicted conditions, whereby an operator is alerted when an anomaly between the predicted conditions and the building conditions arises.
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9. A method for managing one or more buildings, comprising:
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collecting historical building data, real-time building data, historical exogenous data, and real-time exogenous data; receiving the collected data at an adaptive stochastic controller; and
with the adaptive stochastic controller;generating at least one of a predicted condition with a predictive model; generating one or more executable recommendations, which includes generating at least one of a recommended start-up time and ramp-down time for a HVAC system based on at least the trends in the one or more building conditions; and generating a one or more preheat conditions. - View Dependent Claims (10, 11)
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12. A system for managing one or more buildings, comprising:
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a data collector to collect historical building data, real-time building data, historical exogenous data, and real-time exogenous data; an adaptive stochastic controller operatively coupled to the data collector and adapted to receive collected data therefrom, the adaptive stochastic controller configured to generate at least one predicted condition; and at least one communications module communicatively coupled the data collector, the adaptive stochastic controller, and a System Integration Facility server via a bi-directional messaging interface, wherein the communications module comprises a processor and a memory having computer-executable instructions which, when executed by the processor, cause the processor to; receive data from the System Integration Facility server; convert the data from the System Integration Facility server and the collected data to a standardized format; store the data from the System Integration Facility server in a database; send the collected data and the data from the System Integration Facility server to the adaptive stochastic controller to generate the at least one predicted condition or recommendation; store the at least one predicted condition or recommendation in the database; and send the at least one predicted condition or recommendation to the System Integration Facility server. - View Dependent Claims (13, 14, 15, 17, 18)
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16. The system of 12, wherein the adaptive stochastic controller is further configured to generate at least one of a recommended start-up time and ramp-down time.
Specification