METHOD USING WEIGHTED AGGREGATED ENSEMBLE MODEL FOR ENERGY DEMAND MANAGEMENT OF BUILDINGS

METHOD USING WEIGHTED AGGREGATED ENSEMBLE MODEL FOR ENERGY DEMAND MANAGEMENT OF BUILDINGS

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 preda...

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Bibliographische Detailangaben
Hauptverfasser: Agarwal, Saurabh, Mishra, Gaurav, Goswami, Yagyadatta, Pachauri, Nikhil, Shubham, Kumar, Ahn, Chang Wook, Bhardwaj, Tushar, Tiwari, Manoj Kumar
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
COUNTING
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PHYSICS
REGULATING
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Zusammenfassung: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 σ, maximum number of splits, minimum leaf size, and λ. 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).