Intelligent System of Information Broker under a Data and Energy Storage Internet Infrastructure

A computer program product comprising computer executable instructions stored on a non-transitory computer readable medium such that when executed by a processor cause a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a distributed data and energy storage internet architecture to:

• collect device data regarding a flow of energy during a time slot through a plurality of devices within a smart system associated with the NE and data generated by the devices related to the flow of energy during the time slot, human presence data regarding a presence of a user within the smart system during the time slot;
• and human activity data regarding user interaction with the devices during the time slot;
• determine predicted human behaviors for the user based a human behavior analysis of the human activity data and the human presence data;
• update an energy data consumption pattern with the device data, wherein the energy data consumption pattern is an internal model that contains historical data regarding an amount of energy consumed and data generated regarding the energy consumed by the devices;
• determine a predicted energy consumption and a predicted energy generation of the smart system during a future time slot through an application of a charge model associated with the devices to the energy data consumption pattern and the predicted human behaviors;
• determine a predicted energy metric for the smart system during the future time slot based on a difference between the predicted energy consumption and the predicted energy generation of the smart system during the future time slot;
• generate a request for energy resources during the future time slot when the predicted energy metric indicates a shortage of energy for the smart system during the future time slot;
• and
• transmit, via a transmitter, the request to an external NE configured to operate as an external EIB in the distributed data and energy storage internet architecture.

A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a data and energy storage internet architecture, the method comprising:

• collecting device data regarding a flow of energy during a time slot through a plurality of devices within a smart system associated with the NE, human presence data regarding a presence of a user within the smart system during the time slot, and human activity data regarding user interaction with the devices during the time slot;
• determining predicted human behaviors for the user based on a human behavior analysis of the human activity data and the human presence data;
• determining a predicted energy metric for the smart system during a future time slot based on a difference between a predicted energy consumption and a predicted energy generation of the smart system during the future time slot determined according to an analysis of the device data and the predicted human behaviors for the user;
• calibrating weighted objective metrics of an operating status of the devices, a human comfort level, and a human productivity level according to the predicted human behaviors and user defined preference levels defined for the smart system, wherein the weighted objective metrics are included in a dynamic human-centric Objective Function, and wherein the dynamic human-centric Objective Function comprises a human-centric multimodal representation of a Cost Function and a Productivity Function weighted according to the weighted objective metrics;
• generating a set of control commands for the devices within the smart system by executing the dynamic human-centric Objective Function on the predicted energy metric;
• and
• transmitting, via a transmitter, the set of control commands to corresponding devices within the smart system.