2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG)最新文献_第2页

Forecast based classification for power consumption data 基于预测的电力消耗数据分类

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539447

Kálmán Tornai, A. Oláh, M. Lőrincz

{"title":"Forecast based classification for power consumption data","authors":"Kálmán Tornai, A. Oláh, M. Lőrincz","doi":"10.1109/IGBSG.2016.7539447","DOIUrl":"https://doi.org/10.1109/IGBSG.2016.7539447","url":null,"abstract":"In a smart power distribution system a crucial task is to categorize properly the different types of power consumers in order to optimize the transportation grid as well as the rates and contracts between the power suppliers and consumers. By using intelligent meters and analyzing the behavior of consumers relevant information can be obtained, which may be used for capacity distribution or to have more precise estimation for expected energy consumption for individual consumers or local regions. In this paper, we introduce new results on a recently proposed classification scheme based on the forecast of the consumption time series obtained from a smart meter using nonlinear methods. The new results include i) tests on measured power consumption data and performance evaluation in different cases; ii) comparison with other methods. The numerical results prove that our method is capable of distinguishing different consumers with different consumption patterns at lower error rate than the existing methods. As a result the forecast based method proved to be the most promising classification tool in real applications.","PeriodicalId":348843,"journal":{"name":"2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133289727","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: 4

An thermoelectric and RF multi-source energy harvesting system 热电和射频多源能量收集系统

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539440

Chia-Lun Chang, Tai-Cheng Lee

引用次数: 4

Reference frame selection algorithm of HEVC encoder for low power video device 用于低功耗视频设备的HEVC编码器参考帧选择算法

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539416

Takafumi Katayama, Wen Shi, Tian Song, T. Shimamoto, Jenq-Shiou Leu

引用次数: 3

Testing methodology for performance evaluation of communication systems for Smart Grid 智能电网通信系统性能评价的试验方法

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539412

Ondrej Vondrous, Peter Macejko, Tomás Hégr, Z. Kocur

引用次数: 12

Model of medium-sized district heating development strategy based on new environmental legislation 基于新环境立法的中型集中供热发展战略模型

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539426

J. Vecka

引用次数: 0

Efficient subcarrier pairing and power allocation in multi-relay cognitive networks 多中继认知网络中有效的子载波配对与功率分配

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539434

Tso-I Lai, Wen-Hsien Fang, Shih-Chun Lin

{"title":"Efficient subcarrier pairing and power allocation in multi-relay cognitive networks","authors":"Tso-I Lai, Wen-Hsien Fang, Shih-Chun Lin","doi":"10.1109/IGBSG.2016.7539434","DOIUrl":"https://doi.org/10.1109/IGBSG.2016.7539434","url":null,"abstract":"This paper presents an efficient algorithm for joint subcarrier pairing, power allocation, and relay selection in an orthogonal frequency-division multiplexing (OFDM)-based cognitive decode-and-forward (DF) multi-relay network. Such a joint consideration entails a mixed integer programming (MIP) problem. To efficaciously resolve this complicated MIP problem, we propose a blended genetic algorithm (BGA), which tackles all of these three issues as a whole and is free of extra assumptions made in previous works to simplify the problem. In our BGA, every chromosome is divided into a number of integer strings for relay selection and subcarrier pairing, and a real number string for power allocation. A proper initialization scheme based on the convex optimization theory and the channel strengths is proposed. Moreover, new crossover and mutation operations are devised for these new chromosomes as well as to manage the interference to the primary users (PUs). Conducted simulations show that the developed BGA provides superior performance, yet with lower computations compared with previous works.","PeriodicalId":348843,"journal":{"name":"2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133394169","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

Spectrum sensing control for enabling cognitive radio based smart grid 实现基于认知无线电的智能电网的频谱传感控制

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539411

Wei-Lun Hsiao, Wei-Yu Chiu

{"title":"Spectrum sensing control for enabling cognitive radio based smart grid","authors":"Wei-Lun Hsiao, Wei-Yu Chiu","doi":"10.1109/IGBSG.2016.7539411","DOIUrl":"https://doi.org/10.1109/IGBSG.2016.7539411","url":null,"abstract":"This paper proposes a multiobjective (MO) approach for spectrum sensing control in a cognitive radio-based smart grid. An aggregator that serves power suppliers and residential users has two objectives: maximizing the aggregated benefit of power suppliers and users and minimizing the cost of the cognitive radio system. By increasing the sensing time for the available spectrum, the communication quality can be improved. Accurate information exchange further boosts the overall benefit of grid participants; however, larger sensing time yields higher communication cost, implying less profit for the aggregator. The above two objectives are conflicting, leading to a multiobjective optimization problem (MOP). By solving the MOP, a novel demand response management (DRM) system can be constructed. The MO framework motivates competition among power suppliers; hence, residential users can choose power suppliers probabilistically. For the aggregator, a reasonable cost of the cognitive radio system can be attained while communication quality of service is guaranteed. Simulations show that the proposed MO approach yields a stable DRM system. In contrast with a single-objective formulation, which combines multiple objectives, the MO formulation offers a broad perspective on optimality so that the conflicting features of the objectives can be readily visualized. A reasonable value of the sensing time can be further determined based on the obtained Pareto front.","PeriodicalId":348843,"journal":{"name":"2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115578396","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: 5

A novel current-fed parallel-loaded resonant converter with ZVS for low-power energy conversion 用于低功率能量转换的新型零电压并联负载电流谐振变换器

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539436

Y. Chuang, H. Chuang, Chun-Hsiang Yang, Yung-Shan Wang

引用次数: 1

Performance analysis of the window-based HARQ time bundling scheme 基于窗口的HARQ时间捆绑方案的性能分析

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539435

Shiann-Tsong Sheu, R. Cheng, Jieping Wang, Kai-Hua Kuo, R. Harwahyu

引用次数: 0

Combining data centers with electric vehicle battery swapping stations for grid regulation 将数据中心与电动汽车电池交换站结合起来进行电网调节

2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2016-06-27 DOI: 10.1109/IGBSG.2016.7539453

Shan Zhang, Xiaoshan Sun, Hengchang Liu

引用次数: 4