Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings最新文献_第3页

An In Situ System for Annotation of Home Energy Data 一种家庭能源数据现场标注系统

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528305

Sami Rollins, Nilanjan Banerjee, Lazeeb Choudhury, David Lachut

引用次数: 3

Towards Automatic Spatial Verification of Sensor Placement in Buildings 建筑物中传感器位置的自动空间验证

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528302

Dezhi Hong, Jorge Ortiz, K. Whitehouse, D. Culler

{"title":"Towards Automatic Spatial Verification of Sensor Placement in Buildings","authors":"Dezhi Hong, Jorge Ortiz, K. Whitehouse, D. Culler","doi":"10.1145/2528282.2528302","DOIUrl":"https://doi.org/10.1145/2528282.2528302","url":null,"abstract":"Most large, commercial buildings contain thousands of sensors that are manually deployed and managed. These sensors are used by software and firmware processes to analyze and control building operations. Many such processes rely on sensor placement information in order to perform correctly. However, as buildings evolve and building subsystems grow and change, managing placement information becomes burdensome and error-prone. An automatic verification process is needed. We investigate empirical methods to automate spatial verification. We find that a spatial clustering algorithm is able to classify relative sensor locations -- for 15 sensors, spread across five rooms in a building -- with 93.3% accuracy, 13% better than a k-means clustering-based baseline method. Analysis on the raw time series data has a classification accuracy of only 53%. By decomposing the signal into intrinsic modes and performing correlation analysis, an observable, statistical boundary emerges that corresponds to a physical one. These results may suggest that automatic verification of placement information is possible.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121064131","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: 44

Predicting the Power Consumption of Electric Appliances through Time Series Pattern Matching 基于时间序列模式匹配的电器耗电量预测

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528315

A. Reinhardt, D. Reinhardt, S. Kanhere

引用次数: 18

Performance of the Latest Generation Powerline Networking for Green Building Applications 绿色建筑应用中最新一代电力线网络的性能

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528298

Nirmalya Roy, David Kleinschmidt, Joseph Taylor, B. Shirazi

{"title":"Performance of the Latest Generation Powerline Networking for Green Building Applications","authors":"Nirmalya Roy, David Kleinschmidt, Joseph Taylor, B. Shirazi","doi":"10.1145/2528282.2528298","DOIUrl":"https://doi.org/10.1145/2528282.2528298","url":null,"abstract":"Green building applications need to efficiently communicate fine-grained power consumption patterns of a wide variety of consumer-grade appliances for an effective adaptation and percolation of demand response models in the home environment. A key hurdle to the widespread adoption of such demand response policies in these appliances is the lack of efficient connectivity to a local area network. One solution is delivering telemetry data over existing electrical infrastructure to which the devices are already connected. The use of existing wiring produces a simple and cost-effective solution, avoiding many issues observed with wireless mesh networks (such as islands and bottlenecks), while helping to vacate increasingly congested spectrum. In this paper we explore the feasibility and efficacy of Power-line Communications (PLC) as a backbone of wireless communications in a home environment. We evaluate the behavior of several state-of-the art PLC modems using end-to-end measurements to establish their performance and throughput characteristics. Our preliminary results suggest that PLC is a promising technology for low-bandwidth hungry green building applications but more in depth study is required before making large-scale smart grid deployment.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"10 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124278747","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: 9

It's Different: Insights into home energy consumption in India 这是不同的:洞察印度的家庭能源消耗

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528293

Nipun Batra, Manoj Gulati, Amarjeet Singh, M. Srivastava

{"title":"It's Different: Insights into home energy consumption in India","authors":"Nipun Batra, Manoj Gulati, Amarjeet Singh, M. Srivastava","doi":"10.1145/2528282.2528293","DOIUrl":"https://doi.org/10.1145/2528282.2528293","url":null,"abstract":"Residential buildings contribute significantly to the overall energy usage across the world. Real deployments, and collected data thereof, play a critical role in providing insights into home energy consumption and occupant behavior. Existing datasets from real residential deployments are all from the developed countries. Developing countries, such as India, present unique opportunities to evaluate the scalability of existing research in diverse settings. Building upon more than a year of experience in sensor network deployments, we undertake an extensive deployment in a three storey home in Delhi, spanning 73 days from May-August 2013, measuring electrical, water and ambient parameters. We used 33 sensors across the home, measuring these parameters, collecting a total of approx. 400 MB of data daily. We discuss the architectural implications on the deployment systems that can be used for monitoring and control in the context of developing countries. Addressing the unreliability of electrical grid and internet in such settings, we present Sense Local-store Upload architecture for robust data collection. While providing several unique aspects, our deployment further validates the common considerations from similar residential deployments, discussed previously in the literature. We also release our collected data- Indian data for Ambient Water and Electricity Sensing (iAWE), for public use.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117159655","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: 158

Randomized Model Predictive Control for HVAC Systems 暖通空调系统的随机模型预测控制

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528299

A. Parisio, Damiano Varagnolo, Daniel Risberg, Giorgio Pattarello, M. Molinari, K. Johansson

{"title":"Randomized Model Predictive Control for HVAC Systems","authors":"A. Parisio, Damiano Varagnolo, Daniel Risberg, Giorgio Pattarello, M. Molinari, K. Johansson","doi":"10.1145/2528282.2528299","DOIUrl":"https://doi.org/10.1145/2528282.2528299","url":null,"abstract":"Heating, Ventilation and Air Conditioning (HVAC) systems play a fundamental role in maintaining acceptable thermal comfort and Indoor Air Quality (IAQ) levels, essentials for occupants well-being. Since performing this task implies high energy requirements, there is a need for improving the energetic efficiency of existing buildings. A possible solution is to develop effective control strategies for HVAC systems, but this is complicated by the inherent uncertainty of the to-be-controlled system. To cope with this problem, we design a stochastic Model Predictive Control (MPC) strategy that dynamically learns the statistics of the building occupancy and weather conditions and uses them to build probabilistic constraints on the indoor temperature and CO2 concentration levels. More specifically, we propose a randomization technique that finds suboptimal solutions to the generally non-convex stochastic MPC problem. The main advantage of this method is the absence of apriori assumptions on the distributions of the uncertain variables, and that it can be applied to any type of building. We investigate the proposed approach by means of numerical simulations and real tests on a student laboratory, and show its practical effectiveness and computational tractability.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129623298","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: 40

Towards a Smart Home Framework 迈向智能家居框架

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528317

Muddasser Alam, A. T. Alan, A. Rogers, S. Ramchurn

引用次数: 2

Appliance State Estimation based on Particle Filtering 基于粒子滤波的电器状态估计

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528306

Dominik Egarter, Venkata Pathuri Bhuvana, W. Elmenreich

引用次数: 8

A Scalable Low-Cost Solution to Provide Personalised Home Heating Advice to Households 一个可扩展的低成本解决方案，为家庭提供个性化的家庭供暖建议

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528284

A. Rogers, Siddhartha Ghosh, R. Wilcock, N. Jennings

引用次数: 37

Incentivizing Advanced Load Scheduling in Smart Homes 激励智能家居中的高级负载调度

Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings Pub Date : 2013-11-11 DOI: 10.1145/2528282.2528292

Ye Xu, David E. Irwin, P. Shenoy

{"title":"Incentivizing Advanced Load Scheduling in Smart Homes","authors":"Ye Xu, David E. Irwin, P. Shenoy","doi":"10.1145/2528282.2528292","DOIUrl":"https://doi.org/10.1145/2528282.2528292","url":null,"abstract":"In recent years, researchers have proposed numerous advanced load scheduling algorithms for smart homes with the goal of reducing the grid's peak power usage. In parallel, utilities have introduced variable rate pricing plans to incentivize residential consumers to shift more of their power usage to low-price, off-peak periods, also with the goal of reducing the grid's peak power usage. In this paper, we argue that variable rate pricing plans do not incentivize consumers to adopt advanced load scheduling algorithms. While beneficial to the grid, these algorithms do not significantly lower a consumer's electric bill. To address the problem, we propose flat-power pricing, which directly incentivizes consumers to flatten their own demand profile, rather than shift as much of their power usage as possible to low-cost, off-peak periods. Since most loads have only limited scheduling freedom, load scheduling algorithms often cannot shift much, if any, power usage to low-cost, off-peak periods, which are often many hours in the future. In contrast, flat-power pricing encourages consumers to shift power usage even over short time intervals to flatten demand. We evaluate the benefits of advanced load scheduling algorithms using flat-power pricing, showing that consumers save up to 40% on their electric bill, compared with 11% using an existing time-of-use rate plan.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121402040","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: 10