公开(公告)号：US20230401454A1

公开(公告)日：2023-12-14

申请号：US18164505

申请日：2023-02-03

申请人： Nikhil Pachauri ,  Chang Wook Ahn ,  Saurabh Agarwal ,  Tushar Bhardwaj ,  Gaurav Mishra ,  Kumar Shubham ,  Manoj Kumar Tiwari ,  Yagyadatta Goswami

发明人： Nikhil Pachauri ,  Chang Wook Ahn ,  Saurabh Agarwal ,  Tushar Bhardwaj ,  Gaurav Mishra ,  Kumar Shubham ,  Manoj Kumar Tiwari ,  Yagyadatta Goswami

IPC分类号： G06N5/02 ,  G05B15/02

CPC分类号： G06N5/02 ,  G05B15/02

摘要： 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).