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

A computer system comprising

• one or more processors;
• and
• a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for adaptively switching prediction strategies to optimize time-variant energy demand and consumption of one or more built environments associated with renewable energy sources, the method comprising:
• analyzing, at an energy demand control system, 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 ft more built environments, the analyzing being performed for determining optimized operating states of the plurality of energy consuming devices, 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, 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, a set of factors corresponding to the set of prediction strategies discretely indicating prominence of the set of prediction strategies;
• switching, at the energy demand control system, 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 switched predication strategy of one or more prediction strategies;
• predicting, at the energy demand control system, the set of predictions for identifying a potential future time-variant energy demand and consumption associated with the one or more built environments;
• and
• executing, at the energy demand control system, 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.

A non-transitory computer-readable storage medium encoding computer executable instructions that, when executed by at least one processor, performs a method for adaptively switching prediction strategies to optimize time-variant energy demand and consumption of one or more built environments, the method comprising:

• analyzing, at a computing device, 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 performed for determining optimized operating states of the plurality of energy consuming devices, the analyzing being done by performing one or more statistical functions to generate a plurality of statistical results;
• deriving, at the computing device, a set of prediction strategies based or 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 computing device, a set of factors corresponding to the set of prediction strategies discretely indicating prominence of the set of prediction strategies;
• switching, at the computing device, 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 switched predication strategy of one or more prediction strategies;
• predicting, at the computing device, the set of predictions for identifying a potential future time-variant energy demand and consumption associated with the one or more built environments;
• and
• executing, at the computing device, 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, wherein 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.