2016 IEEE International Smart Cities Conference (ISC2)最新文献

Understanding the reliability of localized near future weather data for building performance prediction in the UK 了解英国建筑性能预测的本地近期天气数据的可靠性

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-30 DOI: 10.1109/ISC2.2016.7580826

H. Du, P. Jones, Bobo Ng

{"title":"Understanding the reliability of localized near future weather data for building performance prediction in the UK","authors":"H. Du, P. Jones, Bobo Ng","doi":"10.1109/ISC2.2016.7580826","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580826","url":null,"abstract":"Access to reliable site-specific near future weather data is crucial for forecasting temporally-dynamic building energy demand and consumption, and determining the state of on-site renewable energy generation. Often there is a missing link between weather forecast providers and building energy management systems. This short paper discusses the potential to conduct building performance modelling using localized high resolution weather forecast freely available from the United Kingdom Met Office DataPoint service. It creates a great opportunity for building performance simulation professionals and building energy managers to re-use site-specific high resolution weather forecast data to predict near future building performance at both individual building and city scale. In this paper, authors have developed a framework of forecasting near future building performance and a Matlab script to automatically gather observed weather data from 140 weather stations and weather forecasts for nearly 6,000 locations in the UK. To understand the reliability of weather forecast, three-hourly forecasts of temperature, relative humidity, wind speed and wind direction are compared with observations from weather stations. This provides evidences to use the next 24-hour forecast to predict dynamic building energy demand and consumption, and determine the on-site renewable energy generation output. Because of the high accuracy of forecast, the rolling forecast can be recorded on daily basis to construct weather files for locations that do not have weather stations. This will increase current 14 locations of the CIBSE weather data to nearly 6,000 locations covering population centers, sporting venues and tourist attractions.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117271667","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: 8

Towards building real-time, convenient route recommendation system for public transit 朝着建立实时、便捷的公交路线推荐系统的方向迈进

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580779

Garvita Bajaj, R. Agarwal, Georgios Bouloukakis, Pushpendra Singh, N. Georgantas, V. Issarny

{"title":"Towards building real-time, convenient route recommendation system for public transit","authors":"Garvita Bajaj, R. Agarwal, Georgios Bouloukakis, Pushpendra Singh, N. Georgantas, V. Issarny","doi":"10.1109/ISC2.2016.7580779","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580779","url":null,"abstract":"Public transportation is essential for sustainable and economical development of cities. Several transport organizations aim to provide service information to commuters through web and mobile apps. This information includes possible routes between two stations, estimated travel and arrival times, and real-time updates about traffic conditions. However, this information is currently not personalized according to commuter preferences. In this work, we emphasize the need for personalized transit service information to commuters and present a vision of our work in this direction. Our final goal is to develop a fully-functional personalized route recommendation system for public transit commuters. This involves identifying commuter preferences and suitable recommendation techniques, and developing a platform to communicate this information to the commuters. We identify the requirements for the development of this platform, and propose an architecture for our system. As a proof of concept, we present an Android participatory sensing application - MetroCognition, which acquires feedback on convenience experienced by commuters in public transit.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124560834","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: 11

An integrated framework for video surveillance in complex environments 复杂环境下视频监控的集成框架

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580834

N. Conci, F. D. Natale, S. Messelodi, C. M. Modena, Marco Verza, R. Fioravanti

引用次数: 3

A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine 基于电动汽车和微型涡轮机的建筑能源需求最小化的调度优化模型

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580859

Dimitrios Thomas, O. Deblecker, A. Bagheri, C. Ioakimidis

{"title":"A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine","authors":"Dimitrios Thomas, O. Deblecker, A. Bagheri, C. Ioakimidis","doi":"10.1109/ISC2.2016.7580859","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580859","url":null,"abstract":"High energy demand in corporate and/or public buildings is nowadays one of the main reasons of excessive energy consumption. At the same time, electric vehicles (EVs) have become very popular worldwide being a considerable alternative power source when parked. In this work we propose a scheduling mechanism which optimizes the control of the charging-discharging schedule of an altered but finite number of EVs arriving at a university building for a typical load-day in February aiming at the minimization of the energy demand and the electricity cost of the building. In the aforementioned framework, a parallel operation of a small sized gas turbine generator (GGT) is considered. To this end, a mixed integer linear programing (MILP) model containing binary and continuous variables has been developed to optimize the control process and minimize energy cost. Results showed that the use of the EVs as an alternative energy source can significantly contribute to the reduction of the building's energy demand leading to important cost decrease. The exploitation of the energy produced by the GGT further contributed to the minimization of the total energy consumption of the building and the total electricity cost.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132297439","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: 12

Urban enterprise: A review of Smart City frameworks from an Enterprise Architecture perspective 城市企业:从企业架构的角度回顾智慧城市框架

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580810

Aleksas Mamkaitis, Marija Bezbradica, M. Helfert

引用次数: 26

Performance assessment of a smart road management system for the wireless detection of wildlife road-crossing 无线检测野生动物过马路智能道路管理系统的性能评估

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580835

F. Viani, A. Polo, E. Giarola, F. Robol, G. Benedetti, S. Zanetti

引用次数: 10

A privacy-preserving and power-efficient bicycle tracking scheme for theft mitigation 一种保护隐私和节能的自行车跟踪方案，用于减少盗窃

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580789

Arne Bochem, Kevin Freeman, Martin Schwarzmaier, O. Alfandi, D. Hogrefe

引用次数: 4

London underground: Neighbourhood centrality and relation to urban geography 伦敦地铁:邻里中心性及其与城市地理的关系

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580751

Weisi Guo, Xueke Lu

引用次数: 5

Multiple metrics-OLSR in NAN for Advanced Metering Infrastructures 高级计量基础设施NAN中的多度量- olsr

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580740

Yakubu Tsado, K. Gamage, David Lund, B. Adebisi

引用次数: 3

Optimal planning of the energy production mix in smart districts including renewable and cogeneration power plants 智能区能源生产组合的优化规划，包括可再生能源和热电联产电厂

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-10-03 DOI: 10.1109/ISC2.2016.7580795

S. Bracco, F. Delfino, M. Rossi, M. Robba, L. Pagnini

{"title":"Optimal planning of the energy production mix in smart districts including renewable and cogeneration power plants","authors":"S. Bracco, F. Delfino, M. Rossi, M. Robba, L. Pagnini","doi":"10.1109/ISC2.2016.7580795","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580795","url":null,"abstract":"The choice of the location and size of plants for energy production (both from renewables and fossil fuels) is fundamental to cope with sustainability and emission reduction in smart cities. When the electrical grid is considered, it is necessary to guarantee an electrical demand in each time interval of a single day while the decisions related to installation have to be considered for the whole life time of generation units. In this work, a decision model is proposed for the planning of the energy production in a smart grid feeding a smart district. Specifically, the considered system is characterized by wind turbines, photovoltaic plants, cogeneration micro-turbines, boilers and a connection to the electrical grid. The input parameters of the available renewable resources, the electrical and thermal demands have been estimated on the basis of real data. The proposed model has been applied to a neighborhood in Savona, Italy. The proposed tool is aimed at supporting a central decision maker in planning investments in different urban areas, in the context of the transition from a traditional city to a “smart” one.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127720140","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: 7