Research on Allocation of Charging Resources Based on Neural Network

Yiran Wu, ZiShang Wu, Dengyuan Yang, Xizhe Wang
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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
基于神经网络的收费资源分配研究
对于充电,可分为室内充电和室外充电。本文通过建立神经网络预测模型、电力收费模型、数据分析、熵分等模型,获得近期公共资源使用数据。最后,根据模型的分析结果,对校报收费提出了建议。公共场所的电能消耗主要包括室外充电汽车和室内充电手机。根据近年来汽车销售和手机销售的数据,根据手机和电动汽车数量的上升趋势,我们可以得出这样的结论:电力消耗正在上升。然后利用神经网络预测模型预测未来十年的发展趋势:随着汽车和手机销量的增加,对公共设施收费的需求增加。1. 1.1问题背景在我们的社会生活中,我们生活在一个移动的电子世界。每天我们都“插上电源”给电子设备充电。这些电子产品可能是我们自己家里的小物件(手机)大物件(电动车)。我们的家庭很可能会负责购买充电设备,然后将我们使用的电量支付给电力供应商。1.2提问题1讨论近年来这些能源消耗是如何变化的,以及它将如何继续变化,以确定这些不断增长的能源(电力)和充电需求对公共场所的影响和需求。利用确定的影响和需求,建立公共场所和能源使用需求增加的成本模型,讨论这些成本的范围和支付方式。讨论该模式在不同类型的公共场所(如学校、咖啡馆、机场、购物中心)的变化?4应探讨哪些措施,以降低公共场所能源使用成本的增加,这些计划的实施将如何调整成本模式?为校报写一篇一页的文章,描述你的发现和建议。2. 本研究将分为室外充电车和室内充电手机两部分。查询近年来的汽车销售数据和手机销售数据,数据图像显示,耗电量呈上升趋势。神经网络预测是用来预测未来十年的变化。随着汽车和手机销量的增加,对充电公共设施的需求也在增加。由于充电需求的增加,需要充电设施。根据室内外需求比例、室内外密度、室内外空间。建立收费系统模型,得到收费范围和支付方式。在不同的地方,根据其实际使用功能,利用熵去中心化模型确定室内外收费的权重。根据模型2的结论,分析了学校、咖啡馆、机场和购物中心的变化。2020第四届计算机工程,信息科学与应用技术国际会议(ICCIA 2020)由CSP出版©2020作者17。模型假设假设1假设所有数据都是正确的。4. 符号的解释
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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