Abstract: A method using weighted aggregated ensemble model for energy demand management of buildings includes initializing data values for integrated model to measure energy consumption, perform statistical analysis on data values to estimate accurate prediction, optimizing the data values using marine predator optimization for integrated model, analyze the output to minimize the mean square error and results show improvement in accuracy of integrated model. The data values comprise of ?, maximum number of splits, minimum leaf size, and ?. The weighted aggregated ensemble model for energy demand management of buildings shows best performance compared with other predictive models such as linear regression (LR), support vector regression (SVR), multilayer perceptron neural network (MLPNN), decision tree (DT), and generalized additive model (GAM).

Abstract: Accordingly, embodiments herein disclose a method for providing an audio recipe and a cooking configuration. The method includes receiving cooking instructions from at least one data source. Further, the method includes obtaining at least one recipe parameter from the cooking instructions. Further, the method includes dynamically generating the audio recipe and the cooking configuration corresponding to the audio recipe based on the at least one recipe parameter. Further, the method includes storing the audio recipe and the cooking configuration.

Abstract: Devices, systems, and methods for gathering, calculating and sending positioning information at a user device to one or more networks may be disclosed. In a first implementation the user device transforms pseudorange information relating to terrestrial beacons into GNSS pseudorange information. In a second implementation, the user device sends position information using GNSS information elements. In a third implementation, the user device sends position information using non-GNSS information elements.