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Real-time power control of data centers for providing Regulation Service

Hao Chen, Ayse K. Coskun, Michael C. Caramanis
2013 52nd IEEE Conference on Decision and Control  
Numerical results demonstrate the ability to select optimal RS reserve and average energy consumption levels that allow data centers to both deliver probabilistic QoS guarantees to customers and track  ...  Finally, we argue that simulated optimal policy performance statistics can enable data centers to bid for energy and to offer RS reserves in the the hour-ahead power markets. 52nd IEEE Conference on Decision  ...  on both energy and reserves at clearing prices that reflect new information, and (iii) 5-minute close-to-real-time economic dispatch markets that determine actual ex post variable marginal cost of energy  ... 
doi:10.1109/cdc.2013.6760553 dblp:conf/cdc/ChenCC13 fatcat:ohxydw6p5zdvdiqxjzep6ar4ry

Research on task-offloading decision mechanism in mobile edge computing-based Internet of Vehicle

Jun Cheng, Dejun Guan
2021 EURASIP Journal on Wireless Communications and Networking  
The experimental results show that the proposed offloading strategy can effectively reduce the energy consumption of terminal devices while guarantee the service quality of users.  ...  In this paper, a task-offloading decision mechanism with particle swarm optimization for MEC-IoV is proposed.  ...  communication, and the energy consumption of task processing at the MEC server, which can be calculated by For each IoV user, the determination of the optimal offloading workload according to the monetary  ... 
doi:10.1186/s13638-021-01984-6 fatcat:52xawzhwefc7rgjui2sglynh7a

Decision by sampling implements efficient coding of psychoeconomic functions [article]

Rahul Bhui, Samuel J Gershman
2017 bioRxiv   pre-print
In this paper, we provide a normative justification for DbS that is based on the principle of efficient coding.  ...  The efficient representation of information in a noiseless communication channel is characterized by a uniform response distribution, which the rank transformation implements.  ...  The brain spends a tremendous amount of energy, accounting for 20% of resting oxygen consumption in adult humans, most of which is directly required for signaling (Laughlin, 2001) .  ... 
doi:10.1101/220277 fatcat:lgcapjdigrdsfpxm22xus4ngiy

Digital Twin-Driven Decision Making and Planning for Energy Consumption

Yasmin Fathy, Mona Jaber, Zunaira Nadeem
2021 Journal of Sensor and Actuator Networks  
The model intends to improve the efficiency of energy production by flattening the daily energy demand levels.  ...  At the same time, the average energy cost per household was reduced by 10.7% for the synthetic data and 17.7% for the real dataset.  ...  of high energy rate (i.e., high cost per unit of energy consumption) £/kWh defined by central controller θEnergy consumption level threshold such that if E T h (t) < θ, ρ is used for the cost of energy  ... 
doi:10.3390/jsan10020037 fatcat:yu6txz353vbb7pketl27otyzbu

Target, distance, and valence: Unpacking the effects of normative feedback

Jonathan E. Bogard, Magali A. Delmas, Noah J. Goldstein, I. Stephanie Vezich
2020 Organizational Behavior and Human Decision Processes  
Additionally, we find evidence for the mediating effect of motivation: The more dispiriting the feedback, the worse the subsequent performance.  ...  In Study 1, we randomly assign households to receive no feedback or feedback comparing their energy consumption to either their average or most efficient neighbors.  ...  Analytics, and the UCLA Anderson Easton Technology Management Center for helping fund this research.  ... 
doi:10.1016/j.obhdp.2020.10.003 fatcat:7wppgya4cvgwvlxplyuewex6d4

Decision support for Web service adaptation

Apostolos Papageorgiou, André Miede, Stefan Schulte, Dieter Schuller, Ralf Steinmetz
2014 Pervasive and Mobile Computing  
We formulate the corresponding decision problem and present two scoring algorithms -one Quality of Service-based and one Quality of Experience-based.  ...  Based on the evaluation of different imputation algorithms used for one of our scoring algorithms, we show which imputation algorithms significantly decrease the error imposed by the missing data and decide  ...  The authors take the responsibility for the contents. Many thanks to Liang Han and Jeremias Blendin.  ... 
doi:10.1016/j.pmcj.2013.10.004 fatcat:ibyvj4r4tvc2tcnkfklrctrpa4

Guideline Business Decision Support Systems (BDSS) for Materials Modelling

Donna Dykeman, Adham Hashibon, Peter Klein, Salim Belouettar
2020 Zenodo  
In this work, we describe the components of Business Decisions Support Systems for materials modelling.  ...  Methods and tools are constantly sought by manufacturing organisations to help reduce the time to reach decisions and solve problems, to reduce the costs of running the business, and to improve solution  ...  Governmental/ Regulatory Requirements (e.g., Energy Class A++++, sustainability…), customer demands (shiny colour, low energy consumption), speed of decision making: ability to determine, in-silico, the  ... 
doi:10.5281/zenodo.4054009 fatcat:qxqtingexfbpxe7iq2na36ons4

Dynamic cubing for hierarchical multidimensional data space

Usman Ahmed, Anne Tchounikine, Maryvonne Miquel
2014 Journal of Decision Systems  
It should also be able to efficiently respond to OLAP queries which involve aggregation at different levels of granularity.  ...  The hyper-planes can be seen as mutually exclusive logical subspaces of an HHMDS which represent the spaces determining the aggregation of data at different levels of granularity.  ...  As discussed, the current version of the prototype supports the automatic (parametrized) generation of uniformly distributed data only while data with biased distributions could be generated manually.  ... 
doi:10.1080/12460125.2014.940241 fatcat:3bwxerc4urbujhwldvrujybtre

Autonomous perception and decision-making in cyber-physical systems

Asok Ray
2013 2013 8th International Conference on Computer Science & Education  
The physical space is the source of information and the cyber space makes use of the generated information to make decisions.  ...  CPSs require integration of computation and physical processes that involves the aspects of physical quantities such as time, energy and space during information processing and control.  ...  While high average/worst-case performanceand related costs are regarded as general requirements for any designed system, energy consumption, safety and reliability are more important for CPSs due to the  ... 
doi:10.1109/iccse.2013.6554173 fatcat:243gtheg6vd6jaz7pauyr447aa

Are decisions well supported for the energy transition? A review on modeling approaches for renewable energy policy evaluation

Thomas Horschig, Daniela Thrän
2017 Energy, Sustainability and Society  
We provide a tabular overview that enables the reader to quickly derive information on the suitability of the several modeling approaches to evaluate renewable energy policies.  ...  We will highlight advantages and drawbacks of these approaches and provide a framework assessing the suitability of the presented methodologies for the evaluation of renewable energy policies.  ...  While optimization models try to determine the most cost-efficient option of action, simulation models try to simulate the effects of the given action options.  ... 
doi:10.1186/s13705-017-0107-2 fatcat:mfs2tpntpnhrflt7s7gsuwavfm

Impact of Big Data on Innovation, Competitive Advantage, Productivity, and Decision Making: Literature Review

Nadeem U. Shahid, Nasir J. Sheikh
2021 Open Journal of Business and Management  
Originality/Value: The study provides evidence that big data is the catalyst for innovation, creates competitive advantage, enhances productivity, and assists in decision making.  ...  Businesses are taking advantage of the customer insights that are innovating products and services which are very customer-centric, keeping the competition on the run, improving productivity at all levels  ...  Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/ojbm.2021.92032 fatcat:p5hfith3j5dcbnshppssrxrl5a

A scalable preference model for autonomous decision-making

Markus Peters, Maytal Saar-Tsechansky, Wolfgang Ketter, Sinead A. Williamson, Perry Groot, Tom Heskes
2018 Machine Learning  
Emerging domains such as smart electric grids require decisions to be made autonomously, based on the observed behaviors of large numbers of connected consumers.  ...  In consumer choice settings where alternatives are described by few key attributes, inference in our model is highly efficient and scalable to tens of thousands of choices.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s10994-018-5705-5 fatcat:xjb7t5u635bnzogsl4sxkeid4a

Multi-Criteria Decision Making for Sustainability and Value Assessment in Early PSS Design

Marco Bertoni
2019 Sustainability  
Emerging from the findings of a multiple case study in the aerospace and construction sector, the paper presents a five-step iterative process to support decision making for sustainable PSS design, which  ...  of the attributes of a design contributing to the overall value of a solution.  ...  at the micro-level determine the macro-level behavior of the system.  ... 
doi:10.3390/su11071952 fatcat:wb2ar4y4jvehjjhl4w6eih7k4y

Applying the Theory of Constructed Emotion to Police Decision Making

Joseph Fridman, Lisa Feldman Barrett, Jolie B. Wormwood, Karen S. Quigley
2019 Frontiers in Psychology  
In this paper, we first explain the core features of the TCE, and then offer insights for understanding police decision making in complex, real-world situations.  ...  We also posit a key role for the autonomic nervous system (ANS) in regulating short-term energy expenditures, such that the ANS influences experience and behavior under stressful circumstances, including  ...  ACKNOWLEDGMENTS The views, opinions, and/or findings contained in this paper are those of the authors and shall not be construed as an official Department of the Army position, policy, or decision, unless  ... 
doi:10.3389/fpsyg.2019.01946 pmid:31572250 pmcid:PMC6749088 fatcat:fzi5gc3dhvfw7abeedkhuhpme4

Research on Decision Making of Design for Coupling System Based on Complexity Composite

Peng Zhang, Shaohan Chen, Boyuan Zhao, Zifeng Nie
2022 Processes  
Decision-making methods in conceptual design such as traditional information axioms and the multi-criteria decision-making (MCDM) framework cannot provide a good solution for systems with strong coupling  ...  To fill these gaps, this paper proposes a decision-making method of design for a coupling system based on a complexity composite method (DMDCC).  ...  Despite the contribution of a new decision-making method, the limitations of this study are also evident.  ... 
doi:10.3390/pr10030542 fatcat:56cmolaal5hknarlofuwriyjya
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