Method and system for adaptively switching prediction strategies optimizing time-variant energy consumption of built environment

Abstract

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

What is claimed is: 
     
         1 . A computer-implemented method for adaptively switching prediction strategies to optimize time-variant energy demand and consumption of one or more built environments, the computer-implemented method comprising:
 analyzing, at an energy demand control system with a processor, a first set of statistical data associated with a plurality of energy consuming devices, a second set of statistical data associated with an occupancy behavior of a plurality of users, a third set of statistical data associated with a plurality of energy storage and supply means, a fourth set of statistical data associated with a plurality of environmental sensors and a fifth set of statistical data associated with a plurality of energy pricing models including current and historical recordings of energy pricing state affecting power purchase at the one or more built environments, the analyzing being done by performing one or more statistical functions to generate a plurality of statistical results;   deriving, at the energy demand control system with the processor, a set of prediction strategies based on the plurality of statistical results, the set of prediction strategies driving controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices;   monitoring, at the energy demand control system with the processor, a set of factors corresponding to the set of prediction strategies discretely indicating prominence of a type of prediction strategy over an another type of prediction strategy of the set of prediction strategies, wherein the monitoring being performed in real time;   switching, at the energy demand control system with the processor, to a prediction strategy from the set of derived prediction strategies, wherein the switching being performed based on selective prominence of one or more factors in the monitored set of factors corresponding to switched predication strategy of the one or more prediction strategies and wherein the switching being performed in real time;   predicting, at the energy demand control system with the processor, a set of predictions for identifying a potential future time-variant energy demand and consumption associated with the one or more built environments, wherein the prediction being performed in real time; and   executing, at the energy demand control system with the processor, one or more control schemes for controlling the time-variant energy demand and consumption of the one or more built environments associated with the renewable energy sources, the one or more control schemes being executed based on the set of predictions identifying the potential future time-variant energy demand and consumption associated with the one or more built environments.