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.

Abstract: A computer-implemented method and system is provided. The system manipulates load curves corresponding to time-variant energy demand and consumption of a built environment. The system analyzes a first, second, third, fourth and a fifth set of data. The first set of data is associated with energy consuming devices. The second set of data is associated with an occupancy behavior of users. The third set of data is associated with energy storage and supply means. The fourth set of data is associated with environmental sensors. The fifth set of data is associated with energy pricing models. The system executes control routines for controlling peak loading conditions associated with the built environment. The system manipulates an optimized operating state of the energy consuming devices. The system integrates the energy storage and supply means for optimal reduction of the peak level of energy demand concentrated over the limited period of time.

Abstract: The present disclosure provides a computer-implemented method for recommending one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes analysis of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes recommendation of one or more control schemes to a plurality of energy consuming devices and a plurality of energy storage and supply means.

Abstract: The present disclosure provides a computer-implemented method for prioritizing one or more instructional control strategies to reduce time-variant energy demand of a built environment associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes parsing and comparison of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes identification and prioritization of one or more instructional control strategies to reduce the time-variant energy demand associated with the built environment.

Abstract: The present disclosure provides a system and method for recommending one or more potential changes in operating parameters of a built environment. The one or more potential changes are associated with a plurality of energy load sources. The method includes a step of fetching a first set of statistical data associated with each of a plurality of energy consuming devices. The method includes another step of collecting a third set of statistical data associated with one or more ambient parameters of the built environment. The method includes yet another step of analyzing the first set of statistical data, the second set of statistical data and the third set of statistical data. In addition, the method includes yet another step of recommending the one or more potential changes for the energy consumption of each of the plurality of energy consuming devices.

Abstract: The present disclosure provides a method and system for predicting a potential future energy consumption of a plurality of energy loads in a built environment. The method includes a step of collecting a first set of statistical data associated with a plurality of energy consuming devices. The method includes another step of accumulating a second set of statistical data associated with each of a plurality of users present inside the built environment. The method includes yet another step of analyzing the first set of statistical data and the second set of statistical data. In addition, the method includes yet another step of predicting a set of predictions associated with the potential future energy consumption of each of the plurality of energy consuming devices.

Abstract: The present disclosure provides a method and system for calculation of a probabilistic score. The probabilistic score is used to determine a potential for improvements in energy consumption inside a built environment. The method includes a step of collecting a first set of statistical data. The method includes yet another step of receiving a second set of statistical data. The second set of statistical data is associated with each of a plurality of users present inside the built environment. The method includes yet another step of comparing the current energy consumption data of the first set of statistical data with the past energy consumption data of the first set of statistical data. The comparison is performed to determine the potential for improvement in the energy consumption of each of the plurality of energy consuming devices. The method includes yet another step of calculating the probabilistic score.

Abstract: Systems and methods for facilitating the promotion and sale of prepaid debit cards in the retail outlets of non-bank merchants. In an embodiment, prepaid debit cards are consigned, rather than sold, to the merchants. Furthermore, a lifetime commission may be provided to the merchants to encourage promotion of the prepaid debit cards. Through the motivated promotion of prepaid debit cards, under-banked or un-banked consumers can be encouraged to experience the security and flexibility of the banking system without being part of the banking system. In some circumstances, these consumers may be guided into the banking system.

Abstract: Systems and methods for managing a credit limit for a merchant in a prepaid debit card system. In an embodiment, prepaid debit cards are consigned, rather than sold, to the merchants. Furthermore, an initial credit limit is determined for the merchant. Transaction information, comprising data related to transactions in which the prepaid debit cards are purchased or reloaded, is received. A deposit amount related to the transactions is tracked and compared to a threshold related to the credit limit. When the deposit amount exceeds the threshold, a deposit pick up is initiated.

Abstract: A control system for electrical appliances associated with an enclosure comprising a wireless occupancy sensor for monitoring the presence of a human occupant within the enclosure, a wireless receiver for receiving information from the sensor, electricity flow means capable of establishing or interrupting the flow of electricity to an electrical appliance associated with the enclosure in response to a signal from a controller, and a controller in communication with said receiver and said electricity flow means, the controller capable of monitoring environmental conditions in the enclosure and being programmable to drive the operation of the flow means in response to the information obtained by the receiver from the sensor according to a set of pre-established instructions.

Abstract: A light fixture assembly includes a light-transmissive fixture. The light-transmissive fixture has a surface, and a light-emitting diode (LED) assembly is applied to the surface to illuminate the light-transmissive fixture. An encasement is applied to the surface of the light-transmissive fixture encasing the LED assembly to substantially isolate the LED assembly from environmental influences.