2020 IEEE International Smart Cities Conference (ISC2)最新文献_第6页

The Impact of Plug-in Electric Vehicles on Distribution Network 插电式电动汽车对配电网的影响

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239073

K. Feng, Yanling Zhong, Binzhuo Hong, Xiaomei Wu, Chun Sing Lai, Chenchen Bai

{"title":"The Impact of Plug-in Electric Vehicles on Distribution Network","authors":"K. Feng, Yanling Zhong, Binzhuo Hong, Xiaomei Wu, Chun Sing Lai, Chenchen Bai","doi":"10.1109/ISC251055.2020.9239073","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239073","url":null,"abstract":"With concerned environmental problem, a large number of electric vehicles (EVs) has been adopted to replace the oil-fueled vehicles. If electric vehicles are charged simultaneously on a large-scale, it may cause peak load increase. Therefore, it is of great practical significance to study the influence of controlled charging behavior of electric vehicles on power grid. Firstly, Gaussian Mixture Model is used to modeling electric vehicles. Secondly, Monte Carlo method is studied to determine the charging load of electric vehicles, and the influence of uncontrolled charging of electric vehicles on the power grid is analyzed. Then the peak and valley hours are divided according to the membership function and the time-of-use pricing to minimize the difference between peak and valley load. Furthermore, the influence of controlled charging of EVs on power grid is analyzed. Finally, the model is applied to simulate and analyze the distribution network of Yangjiang, a coastal city in South China. The case study shows that the uncontrolled charging of EVs will increase the peak load of the power grid. The proposed controlled charging strategy can effectively transfer the charging load of EVs and lessen peak load demand.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130987027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Pandemic-specific ‘Emergency Essentials Kit’ for Children in the Migrant BoP communities 为移民BoP社区儿童提供的针对大流行病的“紧急必需品包”

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239078

Anaghaa Chakrapani, Tarun Kumar, Sanjana Shivakumar, Rahul Bhaumik, Kriti Bhalla, S. Prajapati

{"title":"A Pandemic-specific ‘Emergency Essentials Kit’ for Children in the Migrant BoP communities","authors":"Anaghaa Chakrapani, Tarun Kumar, Sanjana Shivakumar, Rahul Bhaumik, Kriti Bhalla, S. Prajapati","doi":"10.1109/ISC251055.2020.9239078","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239078","url":null,"abstract":"COVID-19 has now been declared a ‘Global Pandemic’ by WHO. The pandemic has affected more than 200 countries since its first outbreak in December 2019. The spread of COVID-19 resulted in a state of lockdown globally. India too, closed its borders to contain the virus. Those worst affected by the pandemic are migrant workers at the ‘Bottom of Pyramid’ (BoP) due to unemployment and lack of monetary aid. Family sustenance has been difficult for them, with children impacted physically and psychologically. This paper proposes a ProductService System (PSS) that provides essential emergency kits to infants (6-12 months), children (1-6 years), and their mothers during such emergencies. This PSS scheme strives to fulfil their basic hygiene, nutritional and psychological requirements. Three types of kits are distributed to the migrant families using an online service platform. The entire system operates on a sustainable, single-use plastic-free design. The case study of this humanitarian scheme is specific to India but is also valid for other developing nations. Reaching out to the communities is achieved through a smartphone app and website. The system uses ICT infrastructure to connect various stakeholders and can be admirably adapted to the framework of an inclusive smart city.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131092619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Using Accelerometers in Mobile Phones to Estimate Blood Alcohol Levels 利用手机加速计估算血液酒精含量

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239049

S. Chawathe

引用次数: 0

An IoT-based Air Quality Monitoring Platform 基于物联网的空气质量监测平台

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239070

Helton Pierre Lucena de Medeiros, Gustavo Girão

{"title":"An IoT-based Air Quality Monitoring Platform","authors":"Helton Pierre Lucena de Medeiros, Gustavo Girão","doi":"10.1109/ISC251055.2020.9239070","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239070","url":null,"abstract":"Air pollution is a major environmental problem and causes serious damage to human health. Considering the COVID-19 pandemic scenario, the importance of monitoring and controlling pollution emissions becomes more relevant and fundamental for combating the disease. Seeking to contribute with technological tools, this work presents a proposal for a system based on IoT using low sensors to monitor the most novice pollutants to health, according to the recommendations of the World Health Organization. The proposal presents the development in the hardware layer of a device able to measure the concentrations of the following pollutants: Particulate Material (PM2.5 and PM10), Ozone, Carbon Monoxide, Nitrogen Dioxide and Ammonia by means of three sensors, respectively, PMSA003, MICS-6814 and MQ-131. The device is be equipped with the ESP-WROOM-32 microcontroller that has a Wi-Fi and Bluetooth wireless interface that will allow data to be sent to a server in the cloud. It is important to note that what differentiates from the proposal from others is the implementation of periodic notifications and the sending of alerts for cases in which a given pollutant has reached the maximum acceptable concentration.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116948973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Environmental Parameter Modelling for Thermal Rating Calculations of Power Cables in Urban Areas using Machine Learning and Big Data 基于机器学习和大数据的城市电力电缆热额定计算环境参数建模

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239014

F. Ainhirn

{"title":"Environmental Parameter Modelling for Thermal Rating Calculations of Power Cables in Urban Areas using Machine Learning and Big Data","authors":"F. Ainhirn","doi":"10.1109/ISC251055.2020.9239014","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239014","url":null,"abstract":"Vienna, among other cities, has the aspirations of transforming into a smart city of tomorrow. To enable this transformation and to cope with the challenges for a smarter and more resilient grid, the grid operators have to improve the utilization of new and existing high voltage power cable systems in urban areas. Anyhow, due to the missing of international experience and the lack of suitable standards, intensive research and validation has to be done before. Therefore, for more than 2 years now, load scenarios have been carried out on a 400-kVcable test setup under realistic circumstances. The measured data, which consists of more than 90 different sensors, which are tracking temperatures, but also environmental parameters, are not only used to validate calculation results, but furthermore, to develop a digital twin of the cable system. One key part to do so is the modelling of the environment. Therefore, a statistical evaluation of the correlation of different environmental parameters on the cable temperature has been carried out. The resulting parameters of influence have then been modelled using supervised learning methods. In a final step, the models have been tested with empirical data from the test setup. In this paper, the investigation and modelling of environmental parameters as well as the evaluation of the obtained models will be discussed. Furthermore, the benefits of the derived models for thermal rating calculation are indicated by comparison to the analytical method given by the IEC 60287 on an example. Accurate mathematical models with real time calculation capabilities and prediction accuracies in the range of 98 to 99% could be derived on the basis of relatively small data sets and implementation of external data.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122073143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Simulation of Gamification Elements to Promote Carpooling in a Closed Community 模拟游戏化元素促进封闭社区拼车

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239084

Bruno-Miguel Pinto, R. Rossetti

引用次数: 1

An Energy Performance Benchmarking of office buildings: A Data Mining Approach 办公楼能源绩效基准:数据挖掘方法

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239089

Cynthia E. Alvarez, L. L. Motta, L. C. P. Silva

{"title":"An Energy Performance Benchmarking of office buildings: A Data Mining Approach","authors":"Cynthia E. Alvarez, L. L. Motta, L. C. P. Silva","doi":"10.1109/ISC251055.2020.9239089","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239089","url":null,"abstract":"The COVID–19 pandemic has affected the world economy and is likely to have a dramatic impact on the world’s clean and sustainable energy. Focused efforts to improve the energy efficiency of buildings have been and will be even more essential to achieve desired sustainability goals. The energy benchmarking enables an understanding of the relative energy efficiency of buildings and identifying potential energy saving opportunities. In this sense, this paper aims to develop an energy performance benchmark for office buildings using data mining techniques that have been widely used in literature, showing robustness and reliability results. Specifically, we used techniques such as a wrapper model based on regression analysis for feature selection and the K-prototypes algorithm for classifying buildings. The key idea is to cluster the buildings containing mixed-type data (both numeric and categorical) and establish a benchmarking in each group according to the relative significance (weight) of each building. As a result, eight types of energy benchmarks were developed for each cluster of office buildings, and these were validated in terms of Adjusted R-squared. The results showed that the proposed approach outperformed the Energy Star method by 18%.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128717164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Operation of Smart Buildings with Stochastic Connection of Electric Vehicles 电动汽车随机连接智能建筑的最优运行

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239064

Jiachang Huang, Dongxiao Wang, R. Wu, Chun Sing Lai, C. Xie, Zhuoli Zhao, L. Lai

{"title":"Optimal Operation of Smart Buildings with Stochastic Connection of Electric Vehicles","authors":"Jiachang Huang, Dongxiao Wang, R. Wu, Chun Sing Lai, C. Xie, Zhuoli Zhao, L. Lai","doi":"10.1109/ISC251055.2020.9239064","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239064","url":null,"abstract":"One of the key domains in smart cities is smart energy in which smart grid is a main focus. In recent years, with the development of smart grid, controllable air conditioning load participating in demand response projects and the application of renewable energy sources have drawn wide research interests. The integration of photovoltaic (PV) system and electric vehicles into the micro grid has also brought vitality to the stable operation of smart grids. In this paper, a novel control scheme is proposed to optimize the scheduling of building micro grid that integrate controllable air conditioner loads, PV panels and electric vehicles. The optimal operation problem is modeled and further converted into a mixed integer linear programming (MILP) problem whose objective function is minimizing the electricity cost of the building. The stochastic characteristics of electric vehicles are also considered in this paper to better model electric vehicle behaviors. Simulations are conducted on an office building micro grid and the simulation results verify the feasibility of proposed control strategy.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Smart Telki – Answering Citizen Demand in the Outskirts of Budapest 智能Telki -在布达佩斯郊区回答市民的需求

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239010

Bence Majoros, Marcell Molnár, Tamás Sajti, R. Vida

引用次数: 0

P2P Based Self-Reflection Algorithm for Autonomous Vehicles 基于P2P的自动驾驶汽车自反射算法

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239031

R. Y. Hou

{"title":"P2P Based Self-Reflection Algorithm for Autonomous Vehicles","authors":"R. Y. Hou","doi":"10.1109/ISC251055.2020.9239031","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239031","url":null,"abstract":"It is expected that autonomous cars will be the major form of transportation in the next few decades. However, the major obstacle to the success of autonomous cars is the safety issue which can be classified as internal and external. In this study, we focus on internal safety issues such as hardware and software issues. Due to the limitations of the hardware and software, it is very difficult for autonomous cars to detect the full range of system potential faults by themselves. Each car has weaknesses. The cars may encounter different defects such as outdated software, malfunction of sensors, etc. We found that we can take advantage of Condorcet's jury theorem to solve the problem: “juries consisting of many individuals are likely to reach better decisions than single experts”. To implement the idea, we proposed a self-reflection algorithm by using P2P benchmarking, so that autonomous cars can proactively diagnose their system performance regularly, and detect all potential faults by using the collective views of peers. The proposed algorithm also brings other advantages such as resisting the occasional errors, adapting to the evolution of technological changes, easily extending the processing capacity, etc. The simulations showed that the results are promising.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131347979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0