{"title":"基于神经网络的收费资源分配研究","authors":"Yiran Wu, ZiShang Wu, Dengyuan Yang, Xizhe Wang","doi":"10.23977/iccia2020004","DOIUrl":null,"url":null,"abstract":"For charging, it can be divided into indoor charging and outdoor charging. In this paper, through the establishment of neural network prediction model, power charging model, data analysis, entropy division and other models, the recent use of public resources data is obtained. Finally, according to the analysis results of these models, some suggestions on charging are put forward in the school newspaper. Electric energy consumption in public places mainly includes outdoor charging cars and indoor charging mobile phones. Based on the data of automobile sales and mobile phone sales in recent years, according to the rising trend of the number of mobile phones and electric vehicles, we can draw the conclusion that the power consumption is on the rise. Then use the neural network prediction model to predict the development trend in the next decade: with the increase of car and mobile phone sales, the demand for public facilities charges increases. 1. Restatement of problems 1.1 Background of problem In our social life, we live in a mobile electronic world. Every day we \"plug in\" to charge our electronic devices. These electronic products may be from small items (mobile phones) to large items (electric vehicles) in our own home. Our family is likely to be responsible for purchasing charging devices and then paying the power we use to the power supplier. 1.2 Question raise 1 Discuss how such energy consumption has changed in recent years and how it will continue to change to determine the impact and requirements of these growing energy (electricity) and charging demands on public places. 2 Using the impacts and needs identified, build a model for the costs of increased demand for public places and energy use to discuss the scope of these costs and how to pay them. 3 Discuss the changes of the model in different types of public places (such as schools and cafes and airports and shopping centers)? 4 What measures should be explored to reduce the increased cost of energy use in public places how will the implementation of these plans adjust the cost model? 5 Write a one-page article for the school newspaper describing the findings and suggestions. 2. Problem analysis The research will be divided into two parts: the outdoor charging car and the indoor charging mobile phone. The car sales data and the mobile phone sales data in recent years are queried, and the data image shows that the power consumption is on the rise. Neural network prediction is used to predict the changes in the next ten years. As car and mobile phone sales increase, the demand for charging public facilities increases. Due to the increased demand for charging, charging facilities are required. According to indoor and outdoor demand ratio, indoor and outdoor density, indoor and outdoor space. Establish the model of electric charge system, get the range of charge and the way of payment. In different places, according to its actual use function, the weight of indoor and outdoor charging is determined by using the entropy decentralization model. According to the conclusion of model 2, the change of schools, cafes, airports and shopping centers is analyzed. 2020 4th International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2020) Published by CSP © 2020 the Authors 17 3. Model hypotheses Hypothesis 1 assumes all the data are correct. 4. Symbolic explanation","PeriodicalId":279965,"journal":{"name":"2020 4th International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2020)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Allocation of Charging Resources Based on Neural Network\",\"authors\":\"Yiran Wu, ZiShang Wu, Dengyuan Yang, Xizhe Wang\",\"doi\":\"10.23977/iccia2020004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For charging, it can be divided into indoor charging and outdoor charging. In this paper, through the establishment of neural network prediction model, power charging model, data analysis, entropy division and other models, the recent use of public resources data is obtained. Finally, according to the analysis results of these models, some suggestions on charging are put forward in the school newspaper. Electric energy consumption in public places mainly includes outdoor charging cars and indoor charging mobile phones. Based on the data of automobile sales and mobile phone sales in recent years, according to the rising trend of the number of mobile phones and electric vehicles, we can draw the conclusion that the power consumption is on the rise. Then use the neural network prediction model to predict the development trend in the next decade: with the increase of car and mobile phone sales, the demand for public facilities charges increases. 1. Restatement of problems 1.1 Background of problem In our social life, we live in a mobile electronic world. Every day we \\\"plug in\\\" to charge our electronic devices. These electronic products may be from small items (mobile phones) to large items (electric vehicles) in our own home. Our family is likely to be responsible for purchasing charging devices and then paying the power we use to the power supplier. 1.2 Question raise 1 Discuss how such energy consumption has changed in recent years and how it will continue to change to determine the impact and requirements of these growing energy (electricity) and charging demands on public places. 2 Using the impacts and needs identified, build a model for the costs of increased demand for public places and energy use to discuss the scope of these costs and how to pay them. 3 Discuss the changes of the model in different types of public places (such as schools and cafes and airports and shopping centers)? 4 What measures should be explored to reduce the increased cost of energy use in public places how will the implementation of these plans adjust the cost model? 5 Write a one-page article for the school newspaper describing the findings and suggestions. 2. Problem analysis The research will be divided into two parts: the outdoor charging car and the indoor charging mobile phone. The car sales data and the mobile phone sales data in recent years are queried, and the data image shows that the power consumption is on the rise. Neural network prediction is used to predict the changes in the next ten years. As car and mobile phone sales increase, the demand for charging public facilities increases. Due to the increased demand for charging, charging facilities are required. According to indoor and outdoor demand ratio, indoor and outdoor density, indoor and outdoor space. Establish the model of electric charge system, get the range of charge and the way of payment. In different places, according to its actual use function, the weight of indoor and outdoor charging is determined by using the entropy decentralization model. According to the conclusion of model 2, the change of schools, cafes, airports and shopping centers is analyzed. 2020 4th International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2020) Published by CSP © 2020 the Authors 17 3. Model hypotheses Hypothesis 1 assumes all the data are correct. 4. 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引用次数: 0
Research on Allocation of Charging Resources Based on Neural Network
For charging, it can be divided into indoor charging and outdoor charging. In this paper, through the establishment of neural network prediction model, power charging model, data analysis, entropy division and other models, the recent use of public resources data is obtained. Finally, according to the analysis results of these models, some suggestions on charging are put forward in the school newspaper. Electric energy consumption in public places mainly includes outdoor charging cars and indoor charging mobile phones. Based on the data of automobile sales and mobile phone sales in recent years, according to the rising trend of the number of mobile phones and electric vehicles, we can draw the conclusion that the power consumption is on the rise. Then use the neural network prediction model to predict the development trend in the next decade: with the increase of car and mobile phone sales, the demand for public facilities charges increases. 1. Restatement of problems 1.1 Background of problem In our social life, we live in a mobile electronic world. Every day we "plug in" to charge our electronic devices. These electronic products may be from small items (mobile phones) to large items (electric vehicles) in our own home. Our family is likely to be responsible for purchasing charging devices and then paying the power we use to the power supplier. 1.2 Question raise 1 Discuss how such energy consumption has changed in recent years and how it will continue to change to determine the impact and requirements of these growing energy (electricity) and charging demands on public places. 2 Using the impacts and needs identified, build a model for the costs of increased demand for public places and energy use to discuss the scope of these costs and how to pay them. 3 Discuss the changes of the model in different types of public places (such as schools and cafes and airports and shopping centers)? 4 What measures should be explored to reduce the increased cost of energy use in public places how will the implementation of these plans adjust the cost model? 5 Write a one-page article for the school newspaper describing the findings and suggestions. 2. Problem analysis The research will be divided into two parts: the outdoor charging car and the indoor charging mobile phone. The car sales data and the mobile phone sales data in recent years are queried, and the data image shows that the power consumption is on the rise. Neural network prediction is used to predict the changes in the next ten years. As car and mobile phone sales increase, the demand for charging public facilities increases. Due to the increased demand for charging, charging facilities are required. According to indoor and outdoor demand ratio, indoor and outdoor density, indoor and outdoor space. Establish the model of electric charge system, get the range of charge and the way of payment. In different places, according to its actual use function, the weight of indoor and outdoor charging is determined by using the entropy decentralization model. According to the conclusion of model 2, the change of schools, cafes, airports and shopping centers is analyzed. 2020 4th International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2020) Published by CSP © 2020 the Authors 17 3. Model hypotheses Hypothesis 1 assumes all the data are correct. 4. Symbolic explanation