Filters








142 Hits in 4.5 sec

Optimizations of Power Consumption and Supply in the Smart Grid: Analysis of the Impact of Data Communication Reliability

Dusit Niyato, Qiumin Dong, Ping Wang, Ekram Hossain
2013 IEEE Transactions on Smart Grid  
For optimizing the power consumption, we consider a deferrable load scheduling method which is modeled by using a constrained Markov decision process (CMDP) model, taking into account the unavailability  ...  In this paper, we consider the reliability of the smart grid data communications infrastructure and its impact on the power consumption and supply optimizations.  ...  The MDMS server sends the price information to the deferrable load. The deferrable load optimizes the scheduling policy (i.e., consumption optimization).  ... 
doi:10.1109/tsg.2012.2224677 fatcat:lf5oks3ct5a7vay2frbbpc2rim

Optimal Consumption Policies for Power-Constrained Flexible Loads Under Dynamic Pricing

Donatello Materassi, Saverio Bolognani, Mardavij Roozbehani, Munther A. Dahleh
2015 IEEE Transactions on Smart Grid  
First, we propose a comprehensive model for which the optimal policy can be explicitly computed.  ...  The proposed consumer model features a time varying bound on power consumption, the presence of a nondeferrable load profile, the presence of a load profile that can be deferred up to a deadline, and the  ...  .: OPTIMAL CONSUMPTION POLICIES FOR POWER-CONSTRAINED FLEXIBLE LOADS UNDER DYNAMIC PRICING  ... 
doi:10.1109/tsg.2015.2393053 fatcat:iyhiwzg7vfcmbi2w5fn6qm6wju

Smooth Scheduling for Electricity Distribution in the Smart Grid

Yingsong Huang, Shiwen Mao, R. M. Nelms
2015 IEEE Systems Journal  
We formulate a constrained nonlinear programming problem and incorporate the theory of majorization to develop algorithms that can compute smoothness optimal schedules for the deferrable load dominant  ...  An effective heuristic algorithm is also presented by extending the majorization-based algorithm for the general scenario with both priority loads and deferrable loads.  ...  In each time slot t, W min (t) tracks the priority load and the deferrable load with deadline t, whereas W max (t) represents an upper bound of the possible consumption by time t.  ... 
doi:10.1109/jsyst.2014.2340231 fatcat:wjqxxp3oubhaxeem23ttdr5gfe

Peak-minimizing online EV charging: Price-of-uncertainty and algorithm robustification

Shizhen Zhao, Xiaojun Lin, Minghua Chen
2015 2015 IEEE Conference on Computer Communications (INFOCOM)  
energy (for free) and the energy procured from the external grid.  ...  We study competitive online algorithms for EV (electrical vehicle) charging under the scenario of an aggregator serving a large number of EVs together with its background load, using both its own renewable  ...  ACKNOWLEDGEMENTS This work has been partially supported by the NSF through grant CCF-1442726 and the University Grants Committee of the Hong Kong Special Administrative Region, China (Themebased Research  ... 
doi:10.1109/infocom.2015.7218621 dblp:conf/infocom/ZhaoLC15 fatcat:75h3t3l44bbrrnkh7zbltxowse

Review of Trends and Targets of Complex Systems for Power System Optimization

Jan Vysocky, Stanislav Misak
2020 Energies  
PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems  ...  The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing.  ...  Funding: This paper was supported by the following projects: This paper was supported by the following projects: SP2020/129 Students Grant Competition; TACR TN01000007, TK02030039 and TJ02000157, Czech  ... 
doi:10.3390/en13051079 fatcat:znpuufpv2jd2jf2arnlamiaj5y

Electric Vehicle Charging Scheduling in Green Logistics: Challenges, Approaches and Opportunities [article]

Luyang Hou, Chun Wang, Jun Yan
2021 arXiv   pre-print
Moreover, we discuss research opportunities in applying market-based mechanisms, which shall be coordinated with stochastic optimization and machine learning, to the decentralized, dynamic and data-driven  ...  In green logistics, a well-scheduled charging ensures an efficient operation of transportation and power systems and, at the same time, provides economical and satisfactory charging services for drivers  ...  Similarly, ANN with sample average approximation is used for predicting the base load power consumption [38] .  ... 
arXiv:2103.07635v1 fatcat:s63yfitub5b6fllkr4t3vukx5y

Real-time dynamic voltage scaling for low-power embedded operating systems

Padmanabhan Pillai, Kang G. Shin
2001 Proceedings of the eighteenth ACM symposium on Operating systems principles - SOSP '01  
However, for a large class of applications in embedded real-time systems like cellular phones and camcorders, the variable operating frequency interferes with their deadline guarantee mechanisms, and DVS  ...  We show through simulations and a working prototype implementation that these RT-DVS algorithms closely approach the theoretical lower bound on energy consumption, and can easily reduce energy consumption  ...  The approach taken for this implementation was to maximize flexibility and ease of use, rather than optimize for performance.  ... 
doi:10.1145/502034.502044 dblp:conf/sosp/PillaiS01 fatcat:3mk2pqlumjhknipmtp6qujfnme

Real-time dynamic voltage scaling for low-power embedded operating systems

Padmanabhan Pillai, Kang G. Shin
2001 ACM SIGOPS Operating Systems Review  
However, for a large class of applications in embedded real-time systems like cellular phones and camcorders, the variable operating frequency interferes with their deadline guarantee mechanisms, and DVS  ...  We show through simulations and a working prototype implementation that these RT-DVS algorithms closely approach the theoretical lower bound on energy consumption, and can easily reduce energy consumption  ...  The approach taken for this implementation was to maximize flexibility and ease of use, rather than optimize for performance.  ... 
doi:10.1145/502059.502044 fatcat:crrouj4pgjdgnmt2er47au525a

Real-time dynamic voltage scaling for low-power embedded operating systems

Padmanabhan Pillai, Kang G. Shin
2001 Proceedings of the eighteenth ACM symposium on Operating systems principles - SOSP '01  
However, for a large class of applications in embedded real-time systems like cellular phones and camcorders, the variable operating frequency interferes with their deadline guarantee mechanisms, and DVS  ...  We show through simulations and a working prototype implementation that these RT-DVS algorithms closely approach the theoretical lower bound on energy consumption, and can easily reduce energy consumption  ...  The approach taken for this implementation was to maximize flexibility and ease of use, rather than optimize for performance.  ... 
doi:10.1145/502043.502044 fatcat:hwsokxqzqbf3pcs3wslrxoadlu

Minimal-Variance Distributed Deadline Scheduling [article]

Yorie Nakahira, Andres Ferragut, Adam Wierman
2020 arXiv   pre-print
Moreover, we derive the Pareto-optimality condition for distributed policies that balance the variance and mean square of the service capacity.  ...  The performance of the optimal distributed policies is compared to that of the optimal centralized policy by deriving closed-form bounds and by testing centralized and distributed algorithms using real  ...  For example, in the emerging load from electric vehicle charging stations, maintaining stable power consumption (i.e. limiting the fluctuations in power consumption) is important because large peaks in  ... 
arXiv:2004.12280v2 fatcat:ngbrqedksvephougqua6r3v7i4

Supporting Deliberative Real-Time AI Systems: A Fixed Priority Scheduling Approach

Yanching Chu, Alan Burns
2007 Real-Time Systems (ECRTS), Proceedings of the Euromicro Workshop on  
for allowing optional and anytime components to be executed for enhancing system utility.  ...  Constructing deliberative real-time AI systems is challenging due to the high execution-time variance in AI algorithms and the requirement of worst-case bounds for hard real-time guarantees, often resulting  ...  In general, a server algorithm is characterised by its period, priority among other tasks, capacity consumption rule and replenishment policy.  ... 
doi:10.1109/ecrts.2007.32 dblp:conf/ecrts/ChuB07 fatcat:ayfinirilbdxrhdjv5qc4wjyhu

Cost- and QoS-Efficient Serverless Cloud Computing [article]

Chavit Denninnart
2020 arXiv   pre-print
We determined the minimum chance of success thresholds for tasks to pass to get scheduled and executed.  ...  Specifically, our strategy in this dissertation is to avoid redundant computing, in cases where independent task requests are similar to each other and for tasks that are pointless to process.  ...  As such, instantaneous robustness can act as a performance indicator for task deferral and mapping heuristics.  ... 
arXiv:2011.11711v1 fatcat:ra66iigninem7gqibmivsn3dba

Distributed Load Scheduling in Residential Neighborhoods for Coordinated Operation of Multiple Home Energy Management Systems [article]

Babak Jeddi, Yateendra Mishra, Gerard Ledwich
2021 arXiv   pre-print
A new price-based global and individualized incentives are proposed for customers to respond and adjust loads.  ...  In the proposed framework customers cooperate to optimize energy consumption at the neighborhood level and prevent any grid operational constraints violation.  ...  Similarly, they get penalized for increasing their consumption on peak loads or decreasing it on valley loads. The price adjustment policy is explained in Figure 3 .  ... 
arXiv:2011.04338v4 fatcat:pbqkzcnhxzed3aopsht374wn24

Risk-Limiting Dynamic Contracts for Direct Load Control [article]

Insoon Yang, Duncan S. Callaway, Claire J. Tomlin
2014 arXiv   pre-print
The performance and usefulness of the proposed contract method and its application to direct load control are demonstrated using data on the electric energy consumption of customers in Austin, Texas as  ...  We also propose an approximate decomposition of the optimal contract design problem for multiple customers into multiple low-dimensional contract problems for one customer.  ...  ACKNOWLEDGEMENT The authors would like to thank Professor Lawrence Craig Evans for helpful discussions on dynamic contract theory and PDE-based approaches for it.  ... 
arXiv:1409.1994v3 fatcat:ofsnixcevfdlzdhltqdugden5a

Carbon-Aware Computing for Datacenters [article]

Ana Radovanovic, Ross Koningstein, Ian Schneider, Bokan Chen, Alexandre Duarte, Binz Roy, Diyue Xiao, Maya Haridasan, Patrick Hung, Nick Care, Saurav Talukdar, Eric Mullen (+3 others)
2021 arXiv   pre-print
The core component of the system is a suite of analytical pipelines used to gather the next day's carbon intensity forecasts, train day-ahead demand prediction models, and use risk-aware optimization to  ...  This paper introduces Google's system for Carbon-Intelligent Compute Management, which actively minimizes electricity-based carbon footprint and power infrastructure costs by delaying temporally flexible  ...  include deadline constraints [16] - [18] .  ... 
arXiv:2106.11750v1 fatcat:dsxp2eh7undmlje3aigvvohaei
« Previous Showing results 1 — 15 out of 142 results