2015 Sustainable Internet and ICT for Sustainability (SustainIT)最新文献_第2页

What-a-Watt: exploring electricity production literacy through a long term eco-feedback study What-a-Watt:通过长期生态反馈研究探索电力生产素养

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SUSTAINIT.2015.7101365

Filipe Quintal, Lucas Pereira, N. Nunes, Valentina Nisi

{"title":"What-a-Watt: exploring electricity production literacy through a long term eco-feedback study","authors":"Filipe Quintal, Lucas Pereira, N. Nunes, Valentina Nisi","doi":"10.1109/SUSTAINIT.2015.7101365","DOIUrl":"https://doi.org/10.1109/SUSTAINIT.2015.7101365","url":null,"abstract":"This paper presents the design, implementation and evaluation of an eco-feedback system capable of providing detailed household consumption information and also real-time production breakdown per energy source. We build on recent studies reporting an increased awareness generated by ecofeedback systems that also integrate micro-production information, taking advantage of a closed grid production network on an island with a high concentration of renewables, we deployed the What-a-Watt system in a building with 9 households for a period of 34 consecutive weeks. Results show that all the participating families have shown increased awareness of the production and distribution of electricity, thus becoming more familiarized with concepts such as the different sources of energy and how their availability relates to external variables such as weather conditions and time of day. Furthermore, our results also show, that the families using our system have managed to reduce their overall consumption. This research is a first attempt to provide more effective eco-feedback systems to consumers by integrating complex Smartgrid information in the feedback.","PeriodicalId":229673,"journal":{"name":"2015 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117011123","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

Semi-automatic labeling for public non-intrusive load monitoring datasets 用于公共非侵入式负载监测数据集的半自动标记

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SUSTAINIT.2015.7101378

Lucas Pereira, N. Nunes

引用次数: 14

A sustainable information kiosk driven by sound 由声音驱动的可持续信息亭

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SustainIT.2015.7101377

John P. T. Moore, Ryan Younger, J. Abdelnour-Nocera, Yasmine Z. Rosunally, Antonio D. Kheirkhahzadeh, Jiva N. Bagale

引用次数: 3

Towards systematic performance evaluation of non-intrusive load monitoring algorithms and systems 非侵入式负荷监测算法和系统的系统性能评价

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SUSTAINIT.2015.7101373

Lucas Pereira, N. Nunes

引用次数: 5

Towards energy benchmarking for green video 迈向绿色视频的能源标杆

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SustainIT.2015.7101375

Oche Ejembi

引用次数: 1

Modeling the impact of start-up times on the performance of resource-on-demand schemes in 802.11 WLANs 模拟启动时间对802.11 wlan中资源按需方案性能的影响

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SustainIT.2015.7101368

J. Ortín, P. Serrano, Carlos Donato

引用次数: 2

A system for efficient dissemination of weather forecasts for sustainable solar-powered sensors 可持续太阳能传感器的天气预报有效传播系统

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SustainIT.2015.7101371

C. Renner, P. A. Nguyen

引用次数: 4

Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management 自主电力需求管理的协同并行蒙特卡洛树搜索

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SustainIT.2015.7101360

F. Golpayegani, Ivana Dusparic, S. Clarke

{"title":"Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management","authors":"F. Golpayegani, Ivana Dusparic, S. Clarke","doi":"10.1109/SustainIT.2015.7101360","DOIUrl":"https://doi.org/10.1109/SustainIT.2015.7101360","url":null,"abstract":"Balancing electricity supply and consumption is critical for the stable performance of an electricity Grid. Demand Side Management (DSM) refers to shifting consumers' energy usage to off-peaks as much as possible to avoid more electricity demand than available supply during peak times. Artificial intelligent planning algorithms have been applied to enabling electric devices to reschedule their operation to off-peak. One such algorithm is Monte Carlo Tree Search (MCTS), which takes advantage of tree search and random sampling on decision space in order to fine an optimal domain decision. In particular for DSM, MCTS has been used to control both smart meters and also electrical devices, In both applications, MCTS acts as a centralized consumption planner choosing the optimum approach for all devices in the space. Centralized computation thread limits these approaches in terms of flexibility and scalability. as applied in domains outside DSM, an alternative, decentralized MCTS algorithm, called Parallel MCTS (P-MCTS), allows every agent to run its independent MCTS thread to have its own solution. In thios paper, frist we studied the feasibility of applying P-MCTS in DSM to make demand planning more flexible and scalable. P-MCTS has been evaluated by running two different scenarios one with 6 electrical vehicles (EVs) and the other with 90 EVs which roughly results in 30% peak load shifting for P-MCTS. To improve the results of P-MCTS, we propose a new decentralized collaborative approach, called Collaborative P-MCTS (CP-MCTS), which exploits and extends P-MCTS to enable each electrical device to actively affect the planning process but also to improve the final decision using collective knowledge obtained during the collaboration. Additionally, in comparison with P-MCTS, CP-MCTS obtained better results, including more peak load shufting and smoother load curve due to 30% lower Peak to Average Ratio (PAR).","PeriodicalId":229673,"journal":{"name":"2015 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114182560","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

A user perspective on energy profiling tools in large scale computing environments 大规模计算环境中能源分析工具的用户视角

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SustainIT.2015.7101364

F. Moghaddam, T. Geenen, P. Lago, P. Grosso

引用次数: 6

An approach to reduce carbon dioxide emissions through virtual machine migrations in a sustainable cloud federation 一种在可持续云联盟中通过虚拟机迁移来减少二氧化碳排放的方法

2015 Sustainable Internet and ICT for Sustainability (SustainIT) Pub Date : 2015-04-14 DOI: 10.1109/SustainIT.2015.7101383

Maurizio Giacobbe, A. Celesti, M. Fazio, M. Villari, A. Puliafito

引用次数: 29