On July 12,Xie Fuzhan,Com- missioner of National Bureau of Statistics of China attended the press conference held by State Council Information Office,and delivered the report on China's national unit GDP energy co...On July 12,Xie Fuzhan,Com- missioner of National Bureau of Statistics of China attended the press conference held by State Council Information Office,and delivered the report on China's national unit GDP energy consumption in 2006,present- ing with major indicators of unit GDP energy consumption both at national展开更多
The creation of national energy strategy cannot proceed without accurate projections of future electricity consumption;this is because EC is intimately tied to other forms of energy,such as oil and natural gas.For the...The creation of national energy strategy cannot proceed without accurate projections of future electricity consumption;this is because EC is intimately tied to other forms of energy,such as oil and natural gas.For the purpose of determining and bettering overall energy consumption,there is an urgent requirement for accurate monitoring and calculation of EC at the building level using cutting-edge technology such as data analytics and the internet of things(IoT).Soft computing is a subset of AI that tries to design procedures that are more accurate and reliable,and it has proven to be an effective tool for solving a number of issues that are associated with the use of energy.The use of soft computing for energy prediction is an essential part of the solution to these kinds of challenges.This study presents an improved version of the Harris Hawks Optimization model by combining it with the IHHODL-ECP algorithm for use in Internet of Things settings.The IHHODL-ECP model that has been supplied acts as a useful instrument for the prediction of integrated energy consumption.In order for the raw electrical data to be compatible with the subsequent processing in the IHHODL-ECP model,it is necessary to perform a preprocessing step.The technique of prediction uses a combination of three different kinds of deep learning models,namely DNN,GRU,and DBN.In addition to this,the IHHO algorithm is used as a technique for making adjustments to the hyperparameters.The experimental result analysis of the IHHODL-ECP model is carried out under a variety of different aspects,and the comparison inquiry highlighted the advantages of the IHHODL-ECP model over other present approaches.According to the findings of the experiments conducted with an hourly time resolution,the IHHODL-ECP model obtained a MAPE value of 33.85,which was lower than those produced by the LR,LSTM,and CNN-LSTM models,which had MAPE values of 83.22,44.57,and 34.62 respectively.These findings provided evidence of the IHHODL-ECP model’s improved ability to provide accurate forecasts.展开更多
The paper is based on the fact of serious water shortage and the coming of a LC (low carbon) lifestyle.The design was guided by demand design and aided by Fluent simulation,it break the normal method of water saving a...The paper is based on the fact of serious water shortage and the coming of a LC (low carbon) lifestyle.The design was guided by demand design and aided by Fluent simulation,it break the normal method of water saving and works out a set of a no power consumption new system of house water saving.The paper makes a detailed presentation of the design ideas and process of a system core;the simulation result can show the three-dimensional flow and pressure distribution of flow in a system core factually.Consequently,the simulation demonstrates the feasibility and practical applicability of the design.展开更多
文摘On July 12,Xie Fuzhan,Com- missioner of National Bureau of Statistics of China attended the press conference held by State Council Information Office,and delivered the report on China's national unit GDP energy consumption in 2006,present- ing with major indicators of unit GDP energy consumption both at national
文摘The creation of national energy strategy cannot proceed without accurate projections of future electricity consumption;this is because EC is intimately tied to other forms of energy,such as oil and natural gas.For the purpose of determining and bettering overall energy consumption,there is an urgent requirement for accurate monitoring and calculation of EC at the building level using cutting-edge technology such as data analytics and the internet of things(IoT).Soft computing is a subset of AI that tries to design procedures that are more accurate and reliable,and it has proven to be an effective tool for solving a number of issues that are associated with the use of energy.The use of soft computing for energy prediction is an essential part of the solution to these kinds of challenges.This study presents an improved version of the Harris Hawks Optimization model by combining it with the IHHODL-ECP algorithm for use in Internet of Things settings.The IHHODL-ECP model that has been supplied acts as a useful instrument for the prediction of integrated energy consumption.In order for the raw electrical data to be compatible with the subsequent processing in the IHHODL-ECP model,it is necessary to perform a preprocessing step.The technique of prediction uses a combination of three different kinds of deep learning models,namely DNN,GRU,and DBN.In addition to this,the IHHO algorithm is used as a technique for making adjustments to the hyperparameters.The experimental result analysis of the IHHODL-ECP model is carried out under a variety of different aspects,and the comparison inquiry highlighted the advantages of the IHHODL-ECP model over other present approaches.According to the findings of the experiments conducted with an hourly time resolution,the IHHODL-ECP model obtained a MAPE value of 33.85,which was lower than those produced by the LR,LSTM,and CNN-LSTM models,which had MAPE values of 83.22,44.57,and 34.62 respectively.These findings provided evidence of the IHHODL-ECP model’s improved ability to provide accurate forecasts.
文摘The paper is based on the fact of serious water shortage and the coming of a LC (low carbon) lifestyle.The design was guided by demand design and aided by Fluent simulation,it break the normal method of water saving and works out a set of a no power consumption new system of house water saving.The paper makes a detailed presentation of the design ideas and process of a system core;the simulation result can show the three-dimensional flow and pressure distribution of flow in a system core factually.Consequently,the simulation demonstrates the feasibility and practical applicability of the design.
