Abstract
In order to solve the problem of large error in traditional statistical prediction methods, a large data prediction method based on pie chart is proposed. Linear fusion and exponential spectrum analysis methods are proposed. The method establishes the target model of building energy consumption prediction and carries out nonlinear exponential sequence analysis. Game analysis of building energy consumption, segmentation linear fusion method is used to decompose the characteristics of building energy consumption map, and statistical analysis is carried out. According to the evolution of feature decomposition and learning trends, the analysis and accurate prediction of building energy consumption big data is realised. The simulation results show that the method reduces energy consumption, is conducive to building energy-saving emission reduction and green building, and provides a new idea for building energy conservation. Provide scientific support for the development of building energy conservation and environmental protection.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Information and Communication Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
