Proceedings of the 5th international conference on Future energy systems最新文献

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Balance your bids before your bits: the economics of geographic load-balancing 先平衡出价,再平衡比特:地理负载平衡的经济学
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602068
José M. Camacho, Y. Zhang, Minghua Chen, D. Chiu
{"title":"Balance your bids before your bits: the economics of geographic load-balancing","authors":"José M. Camacho, Y. Zhang, Minghua Chen, D. Chiu","doi":"10.1145/2602044.2602068","DOIUrl":"https://doi.org/10.1145/2602044.2602068","url":null,"abstract":"By routing workload to locations with cheaper electricity, geographic load-balancing (GLB) has been shown a promising mechanism to cut down the electricity bill of geo-distributed datacenters operated by the same organization. Most existing studies on GLB assume that the use of GLB has no impact on electricity prices, even though GLB increases local electricity demand variation. In practice, however, electricity prices are determined by how supply and demand are dynamically balanced by local electricity utilities, and thus may as well be affected by GLB. In this paper, in order to understand and unleash GLB's economic potential, we carry out a comprehensive study on how GLB interacts with electricity supply chains. In particular, we show that as GLB introduces extra uncertainty in local demand, utility companies may have to increase electricity prices to ensure certain profit margin in face of such demand uncertainty. Consequently, cloud service providers (CSP) doing GLB may end up getting minor cost reduction or even paying higher electricity bills than not doing GLB, as shown in our case study based on real-world traces. Then, motivated by the recent practice of large CSPs moving into electricity markets, we propose to allow CSPs to purchase electricity from markets through brokers. The advantage is that GLB no longer causes economic loss to utilities. Meanwhile, CSPs can still exploit their presence in multiple geo-locations to achieve desirable electricity cost reduction. Our case study using real-world traces shows that the solution can save CSPs up to 12% of the electricity cost.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124451923","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: 27
When mice consume like elephants: instant messaging applications 当老鼠像大象一样消费时:即时通讯应用程序
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602054
Ekhiotz Jon Vergara, Simon Andersson, S. Nadjm-Tehrani
{"title":"When mice consume like elephants: instant messaging applications","authors":"Ekhiotz Jon Vergara, Simon Andersson, S. Nadjm-Tehrani","doi":"10.1145/2602044.2602054","DOIUrl":"https://doi.org/10.1145/2602044.2602054","url":null,"abstract":"A recent surge in the usage of instant messaging (IM) applications on mobile devices has brought the energy efficiency of these applications into focus of attention. Although IM applications are changing the message communication landscape, this work illustrates that the current versions of IM applications differ vastly in energy consumption when using the third generation (3G) cellular communication. This paper shows the interdependency between energy consumption and IM data patterns in this context. We analyse the user interaction pattern using a IM dataset, consisting of 1043370 messages collected from 51 mobile users. Based on the usage characteristics, we propose a message bundling technique that aggregates consecutive messages over time, reducing the energy consumption with a trade-off against latency. The results show that message bundling can save up to 43% in energy consumption while still maintaining the conversation function. Finally, the energy cost of a common functionality used in IM applications that informs that the user is currently typing a response, so called typing notification, is evaluated showing an energy increase ranging from 40-104%.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133833427","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: 27
Energy demand forecasting: industry practices and challenges 能源需求预测:行业实践与挑战
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602086
M. Sinn
{"title":"Energy demand forecasting: industry practices and challenges","authors":"M. Sinn","doi":"10.1145/2602044.2602086","DOIUrl":"https://doi.org/10.1145/2602044.2602086","url":null,"abstract":"Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable energy sources, and for novel dynamic pricing mechanisms, e.g., demand response. In order to achieve accurate forecasts with high spatial and temporal resolution, data from various sources needs to be integrated: Smart meters, SCADA, weather forecasts, physical, statistical and geographical models. In this talk I will give an overview of recent work within IBM Research on an intelligent large-scale energy demand forecasting solution which provides forecasts at different aggregation levels, quantifies uncertainty in demand, and estimates the amount of distributed renewable energy behind the meters. The solution can be seamlessly integrated with external applications for network planning and decision support, and has been validated with leading electric utility companies world-wide.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131167005","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: 1
Comparing apples to oranges: energy benchmarking of supermarkets with limited data 比较苹果和橘子:有限数据下超市的能源基准
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602077
Maathangi Sankar, P. VenkataRamakrishna, Shiva R. Iyer, V. Sarangan, Arunchandar Vasan, A. Sivasubramaniam
{"title":"Comparing apples to oranges: energy benchmarking of supermarkets with limited data","authors":"Maathangi Sankar, P. VenkataRamakrishna, Shiva R. Iyer, V. Sarangan, Arunchandar Vasan, A. Sivasubramaniam","doi":"10.1145/2602044.2602077","DOIUrl":"https://doi.org/10.1145/2602044.2602077","url":null,"abstract":"Current approaches for benchmarking building energy consumption are either too data intensive to be feasible in practice or too data agnostic to be useful. We present a limited data approach where in, instead of using minutiae required for accurate HVAC modeling, we model the heating/cooling loads, the drivers for HVAC. This allows us to see how a building's (i) weather independent consumption compares to the optimal value and (ii) weather dependent consumption compares with its expected heating/cooling loads. Based on this two dimensional metric, we benchmark 94 geographically diverse supermarket stores and present our findings.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122165920","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
Is the grass greener?: mining electric vehicle opinions 草更绿了吗?:挖掘电动车意见
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602050
Tommy Carpenter, Lukasz Golab, S. Syed
{"title":"Is the grass greener?: mining electric vehicle opinions","authors":"Tommy Carpenter, Lukasz Golab, S. Syed","doi":"10.1145/2602044.2602050","DOIUrl":"https://doi.org/10.1145/2602044.2602050","url":null,"abstract":"Electric Vehicles (EVs) are envisioned to play a large role in the transition from fossil fuel to renewables based transportation. However, their sales thus far are nominal compared to traditional car sales. It has been difficult for manufacturers to measure owners' initial perceptions in order to build improved vehicles more drivers are likely to adopt. Sentiments towards EVs have mostly been determined using either field trials or large surveys of drivers, both of which are problematic. We build a system that mines EV owners' sentiments from online forums. Our system has three main uses. First, it graphs the percentage of positive and negative opinions for each vehicle feature of interest, e.g., battery capacity, giving the user a high level product overview. There is currently no easily-consumable review system for EVs. Second, it allows the user to read opinions about the specific features they are most interested in without searching though irrelevant text. In our case study, we find only 3% of the comments on EV ownership forums express opinions on the features. The system therefore reduces the space of text the user must read by 97%, even assuming they wish to read all opinions about all features. Finally, in addition to mining the same perceptions found during expensive field trials, our system finds perceptions that were only realized after the owners possessed their EVs for an extended period of time, i.e., perceptions not available during shorter trials. The system extracts and classifies opinions with a precision and recall of 60%, which is on par or better than previous opinion mining systems.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126676485","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: 6
Algorithms for upgrading the resolution of aggregate energy meter data 提高综合电能表数据分辨率的算法
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602059
H. Khadilkar, T. Ganu, Zainul Charbiwala, C. Lim, S. Mathew, D. Seetharam
{"title":"Algorithms for upgrading the resolution of aggregate energy meter data","authors":"H. Khadilkar, T. Ganu, Zainul Charbiwala, C. Lim, S. Mathew, D. Seetharam","doi":"10.1145/2602044.2602059","DOIUrl":"https://doi.org/10.1145/2602044.2602059","url":null,"abstract":"Metering of the energy supplied to consumers is an important component of operations for utility providers. Several schemes have been employed for this purpose, including traditional postpaid and prepaid metering, and more advanced smart metering technology. Analysis of the data generated by these meters has the potential to provide insights into consumer characteristics and power consumption patterns, including consumer segmentation and anomaly detection. We describe the different types of power purchase and consumption data, as well as the analytics algorithms that can be applied to them. Most applications developed for energy meter data require high resolution information of the type provided by smart meters, thus leaving aggregate prepaid or postpaid meter schemes at a disadvantage. In this paper, we present analytics-based methodologies to upgrade aggregate prepaid and postpaid meter data resolution, which will allow smart meter analytics to be applied without expensive infrastructure upgrades.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133223248","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
SmartD: smart meter data analytics dashboard SmartD:智能电表数据分析仪表盘
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602046
Aylin Jarrah Nezhad, T. Wijaya, Matteo Vasirani, K. Aberer
{"title":"SmartD: smart meter data analytics dashboard","authors":"Aylin Jarrah Nezhad, T. Wijaya, Matteo Vasirani, K. Aberer","doi":"10.1145/2602044.2602046","DOIUrl":"https://doi.org/10.1145/2602044.2602046","url":null,"abstract":"The ability of smart meters to communicate energy consumption data in (near) real-time enables data analytics for novel applications, such as pervasive demand response, personalized energy feedback, outage management, and theft detection. Smart meter data are characterized by big volume and big velocity, which make processing and analysis very challenging from a computational point of view. In this paper we presented SmartD, a dashboard that enables the data analyst to visualize smart meter data and estimate the typical load profile of new consumers according to different contexts, temporal aggregations and consumer segments.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133053103","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: 36
An occupant-participatory approach for thermal comfort enhancement and energy conservation in buildings 一种增强建筑热舒适和节能的居住者参与式方法
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602067
Abraham Hang-Yat Lam, Yi Yuan, Dan Wang
{"title":"An occupant-participatory approach for thermal comfort enhancement and energy conservation in buildings","authors":"Abraham Hang-Yat Lam, Yi Yuan, Dan Wang","doi":"10.1145/2602044.2602067","DOIUrl":"https://doi.org/10.1145/2602044.2602067","url":null,"abstract":"Commercial building is one of the major energy consumers worldwide. Among the building services, the heating, ventilating and air-conditioning (HVAC) system dominates the total energy consumption. Recent studies have proposed various approaches to audit, automate and optimize energy usage of the HVAC system. Nevertheless, these schemes seldom discuss human thermal comfort. To minimize complaints, the current practice of the facility management is to adopt very conservative temperatures, leading to massive waste of energy. In this paper, we actively take thermal comfort into consideration. We propose a participatory approach allowing the occupants provide feedback regarding their comfort levels. A major challenge for a participatory design is to reduce intrusiveness of the system. To this end, we develop a temperature comfort correlation model that can build a profile for each occupant. The decision of setpoint temperature can be primarily model-driven, requiring minimal inputs of the occupants. We validated our model with field experiments. Besides, we developed a setpoint optimization algorithm to handle the diverging thermal requirements of multiple occupants in same room, and examined the model with simulations. We implemented our design and conducted field experiments in a University and a commercial office. Results showed that our algorithm can successfully maintain high thermal comfort, while reducing 18% of energy consumption.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"23 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130243029","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: 71
A novel heuristics-based energy management system for a multi-carrier hub enriched with solid hydrogen storage 一种基于启发式的多载流子集线器能量管理系统
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602081
R. Proietto, D. Arnone, M. Bertoncini, A. Rossi, D. L. Cascia, R. Miceli, E. R. Sanseverino
{"title":"A novel heuristics-based energy management system for a multi-carrier hub enriched with solid hydrogen storage","authors":"R. Proietto, D. Arnone, M. Bertoncini, A. Rossi, D. L. Cascia, R. Miceli, E. R. Sanseverino","doi":"10.1145/2602044.2602081","DOIUrl":"https://doi.org/10.1145/2602044.2602081","url":null,"abstract":"In this paper, an efficient optimization algorithm for the energy management of a grid-connected energy hub plant is proposed. The Simulated Annealing algorithm is adopted for the solution of the energy management problem aiming at the profit maximization for the owner of the energy hub plant. The use of a heuristic algorithm was required by the non-linearity of the efficiencies of each component in the energy transformation stages. The proposed heuristics is applied to a large energy hub, corresponding to the simulation of the test-bed that is being designed and developed inside the ongoing INGRID European research project.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127031259","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
Modeling and online control of generalized energy storage networks 广义储能网络的建模与在线控制
Proceedings of the 5th international conference on Future energy systems Pub Date : 2014-06-11 DOI: 10.1145/2602044.2602060
Junjie Qin, Yinlam Chow, Jiyan Yang, R. Rajagopal
{"title":"Modeling and online control of generalized energy storage networks","authors":"Junjie Qin, Yinlam Chow, Jiyan Yang, R. Rajagopal","doi":"10.1145/2602044.2602060","DOIUrl":"https://doi.org/10.1145/2602044.2602060","url":null,"abstract":"The integration of intermittent and volatile renewable energy resources requires increased flexibility in the operation of the electric grid. Storage, broadly speaking, provides the flexibility of shifting energy over time; network, on the other hand, provides the flexibility of shifting energy over geographical locations. The optimal control of general storage networks in uncertain environments is an important open problem. The key challenge is that, even in small networks, the corresponding constrained stochastic control problems with continuous spaces suffer from curses of dimensionality, and are intractable in general settings. For large networks, no efficient algorithm is known to give optimal or near-optimal performance. This paper provides an efficient and provably near-optimal algorithm to solve this problem in a very general setting. We study the optimal control of generalized storage networks, i.e., electric networks connected to distributed generalized storages. Here generalized storage is a unifying dynamic model for many components of the grid that provide the functionality of shifting energy over time, ranging from standard energy storage devices to deferrable or thermostatically controlled loads. An online algorithm is devised for the corresponding constrained stochastic control problem based on the theory of Lyapunov optimization. We prove that the algorithm is near-optimal, and construct a semidefinite program to minimize the sub-optimality bound. The resulting bound is a constant that depends only on the parameters of the storage network and cost functions, and is independent of uncertainty realizations. Numerical examples are given to demonstrate the effectiveness of the algorithm.","PeriodicalId":257408,"journal":{"name":"Proceedings of the 5th international conference on Future energy systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975190","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: 18
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