METHOD AND SYSTEM FOR PREDICTING POTENTIAL FUTURE ENERGY CONSUMPTION OF BUILT ENVIRONMENT

摘要

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.

主权项

1. A method for predicting a potential future energy consumption of a plurality of energy loads in a built environment, the method comprising:
collecting a first set of statistical data associated with a plurality of energy consuming devices present in the built environment, wherein the first set of statistical data comprises a current energy consumption data and a past energy consumption data associated with each of the plurality of energy consuming devices, wherein the first set of statistical data being collected based on a first plurality of parameters and wherein the first set of statistical data being collected in real time; accumulating a second set of statistical data associated with each of a plurality of users present inside the built environment, wherein the second set of statistical data being accumulated based on a second plurality of parameters and wherein the second set of statistical data being accumulated in the real time; analyzing the first set of statistical data and the second set of statistical data, wherein the analyzing being performed by: aggregating the current energy consumption data of the first set of statistical data for the plurality of energy consuming devices into pre-defined bins of time; imputing one or more missing data points in an aggregated current energy consumption data by utilizing local polynomial interpolation; and estimating a residual standard deviation of the aggregated current energy consumption data for each pre-defined bin of time, wherein the first set of statistical data and the second set of statistical data being analyzed for determining a maximum consumption potential value of the built environment and wherein analysis of the first set of statistical data and the second set of statistical data generates a plurality of statistical results; and predicting a set of predictions associated with the potential future energy consumption of each of the plurality of energy consuming devices by adding a multiplication factor to an estimated residual standard deviation for each pre-defined bin of time, wherein the set of predictions being predicted in the real time.