This paper analyzes the energy consumption situation in Beijing,based on the comparison of common energy consumption prediction methods.Here we use multiple linear regression analysis,grey prediction,BP neural net-wor...This paper analyzes the energy consumption situation in Beijing,based on the comparison of common energy consumption prediction methods.Here we use multiple linear regression analysis,grey prediction,BP neural net-work prediction,grey BP neural network prediction combined method,LSTM long-term and short-term memory network model prediction method.Firstly,before constructing the model,the whole model is explained theoretically.The advantages and disadvantages of each model are analyzed before the modeling,and the corresponding advantages and disadvantages of these models are pointed out.Finally,these models are used to construct the Beijing energy forecasting model,and some years are selected as test samples to test the prediction accuracy.Finally,all models were used to predict the development trend of Beijing's total energy consumption from 2018 to 2019,and the relevant energy-saving opinions were given.展开更多
In recent years,there are some problems in science and technology management,such as untimely task supervision and independent information system,which makes it difficult to achieve accurate,quantitative and standardi...In recent years,there are some problems in science and technology management,such as untimely task supervision and independent information system,which makes it difficult to achieve accurate,quantitative and standardized management.The storage of scientific research test data is scattered,and there are many deficiencies in the management,promotion and use of existing intellectual property.In this paper,on the basis of the knowledge economy,intelligence economy under the conditions of knowledge management concept and cutting-edge technology,technology management and service management related data,information,knowledge,method of blend together.Based on science and technology management,knowledge management as the core of management and service platform of science and technology technical route,main function,construction principles and standards.In order to realize the management systematization of science and technology,intelligent,better educated,multi-level and multi-angle application services.展开更多
基金supported by Research on Construction of Green Building Material Information Management Platform(Grant No.2016024).
文摘This paper analyzes the energy consumption situation in Beijing,based on the comparison of common energy consumption prediction methods.Here we use multiple linear regression analysis,grey prediction,BP neural net-work prediction,grey BP neural network prediction combined method,LSTM long-term and short-term memory network model prediction method.Firstly,before constructing the model,the whole model is explained theoretically.The advantages and disadvantages of each model are analyzed before the modeling,and the corresponding advantages and disadvantages of these models are pointed out.Finally,these models are used to construct the Beijing energy forecasting model,and some years are selected as test samples to test the prediction accuracy.Finally,all models were used to predict the development trend of Beijing's total energy consumption from 2018 to 2019,and the relevant energy-saving opinions were given.
基金supported by Research on Construction of Green Building Material Information Management Platform(Grant 2016024).
文摘In recent years,there are some problems in science and technology management,such as untimely task supervision and independent information system,which makes it difficult to achieve accurate,quantitative and standardized management.The storage of scientific research test data is scattered,and there are many deficiencies in the management,promotion and use of existing intellectual property.In this paper,on the basis of the knowledge economy,intelligence economy under the conditions of knowledge management concept and cutting-edge technology,technology management and service management related data,information,knowledge,method of blend together.Based on science and technology management,knowledge management as the core of management and service platform of science and technology technical route,main function,construction principles and standards.In order to realize the management systematization of science and technology,intelligent,better educated,multi-level and multi-angle application services.
