Relevant bibliographies by topics / Optimization of electrical systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Optimization of electrical systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Optimization of electrical systems"

1

Christensen, Mike L., and David L. Zimmerman. "Optimization of Offshore Electrical Power Systems." IEEE Transactions on Industry Applications IA-22, no. 1 (1986): 148–60. http://dx.doi.org/10.1109/tia.1986.4504696.

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Helmke, U., and J. Moore. "Optimization and Dynamical Systems." Proceedings of the IEEE 84, no. 6 (1996): 907. http://dx.doi.org/10.1109/jproc.1996.503147.

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Dochviri, J. "Optimization of Control Processes of Digital Electrical Drive Systems." Latvian Journal of Physics and Technical Sciences 47, no. 2 (2010): 16–24. http://dx.doi.org/10.2478/v10047-010-0005-2.

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Optimization of Control Processes of Digital Electrical Drive Systems The aim of the work is solution of the problems associated with synthesis of the digital speed regulators both for DC and AC thyristor electrical drives. The investigation is realized based on the parameters of continuous technological equipment (e.g. paper-making machine) by taking into account elastic transmission links of the drive systems. Appropriate frequency characteristics and transient processes are described.
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Sechilariu, Manuela. "Intelligent Energy Management of Electrical Power Systems." Applied Sciences 10, no. 8 (2020): 2951. http://dx.doi.org/10.3390/app10082951.

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Smart grid implementation is facilitated by multi-source energy systems development, i.e., microgrids, which are considered the key smart grid building blocks. Whether they are alternative current (AC) or direct current (DC), high voltage or low voltage, high power or small power, integrated into the distribution system or the transmission network, multi-source systems always require an intelligent energy management that is integrated into the power system. A comprehensive intelligent energy system aims at providing overall energy efficiency with regard to the following: increased power genera
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Machado da Silva, Jamir, Renan Eduardo da Silva, José Rui Camargo, and Ederaldo Godoy Junior. "Optimization of a Thermoelectric Air Conditioning Systems." Defect and Diffusion Forum 336 (March 2013): 111–20. http://dx.doi.org/10.4028/www.scientific.net/ddf.336.111.

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This paper studies the optimization of a thermoelectric cooling system of air. Based on both results obtained experimentally and from a mathematical model, we evaluated the available features of thermoelectric modules and parameters subject to optimization. In the thermoelectric cooling air process based on the effect discovered by Jean Peltier Charles Athanase in 1834, when an electrical current is conducted through a semiconductor junction between two materials with different properties, heat is absorbed and dissipated. Thermoelectric modules are made of semiconductor materials and sealed be
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Misra, Medha, Pawan Singh, and Anil Kumar. "Energy Optimization for Smart Housing Systems." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 1, no. 1 (2020): 1–6. http://dx.doi.org/10.54060/jieee/001.01.005.

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Smart home is an emerging technology which is growing continuously now. It integrates many of the new technologies with the help of home networking for improving human’s quality and standard of living, so there are many projects which are researching in diverse technologies in order to apply them to the smart home system. As the technology evolves it comforts mankind with some additional ease and advancement. At the time the evolution calls upon all the daily routine devices to operate over internet and this project is based on the idea to make these devices accessible to the owner anytime any
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Montoya Giraldo, Oscar Danilo. "Solving a Classical Optimization ProblemUsing GAMS Optimizer Package: Economic Dispatch ProblemImplementation." Ingeniería y Ciencia 13, no. 26 (2017): 39–63. http://dx.doi.org/10.17230/ingciencia.13.26.2.

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This paper presents an effectiveness strategy to model and solve nonlinearmathematical optimization problems in electrical engineering using Gene-ral Algebraic Modeling System (GAMS) for undergraduate students. Aclassical problem known as economic dispatch has been selected to showthe need of using mathematical tools to solve a large scale optimizationproblem related with engineering. The economic dispatch is a classical op-timization problem in operation of thermal electric systems, being the mainidea to find an economical operation for thermal generators. This opera-tion is based on a quadra
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Bracco, Stefano, Federico Delfino, Michela Longo, and Silvia Siri. "Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy." Journal of Advanced Transportation 2019 (December 12, 2019): 1–19. http://dx.doi.org/10.1155/2019/9572746.

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In this paper, an optimization model is defined for the design of a smart energy infrastructure integrating different technologies to satisfy the electrical demand of a given site. The considered smart energy infrastructure includes a photovoltaic plant, electrical storage systems, electric vehicles (EVs), and charging stations. The objective function of the optimization model considers the costs related to the installation and maintenance of the considered technologies, as well as the costs associated with the energy exchanges with the external grid. A very extensive numerical analysis is rep
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Safonov, G. P., A. M. Sorokin, A. V. Buldakov, and P. V. Vorob’ev. "The optimization of the production process for electrical insulation systems." Russian Electrical Engineering 78, no. 3 (2007): 167–69. http://dx.doi.org/10.3103/s1068371207030145.

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Lei, Gang, Tianshi Wang, Jianguo Zhu, and Youguang Guo. "Robust multiobjective and multidisciplinary design optimization of electrical drive systems." CES Transactions on Electrical Machines and Systems 2, no. 4 (2018): 409–16. http://dx.doi.org/10.30941/cestems.2018.00052.

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Dissertations / Theses on the topic "Optimization of electrical systems"

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Bordin, Chiara <1983&gt. "Mathematical Optimization Applied to Thermal and Electrical Energy Systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6915/.

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This Thesis aims at building and discussing mathematical models applications focused on Energy problems, both on the thermal and electrical side. The objective is to show how mathematical programming techniques developed within Operational Research can give useful answers in the Energy Sector, how they can provide tools to support decision making processes of Companies operating in the Energy production and distribution and how they can be successfully used to make simulations and sensitivity analyses to better understand the state of the art and convenience of a particular technology by co
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Dolloff, Paul A. "Optimization in electrical distribution systems : Discrete Ascent Optimal Programming /." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06062008-151439/.

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Thompson, Kristen. "Power Optimization Configurations in Piezoelectric Energy Harvesting Systems." Youngstown State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1607878811381028.

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Vourazelis, Dimitrios G. "Optimization in solar heating/photovoltaic systems." Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA242363.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, December 1990.<br>Thesis Advisor(s): Titus, Harold A. Second Reader: Michael, Sherif. "December 1990." Description based on title screen as viewed on March 30, 2010. DTIC Descriptor(s): Heat Transfer, Theory, Theses, Costs, Heating Elements, Fluid Dynamics, Photovoltaic Effect, Solar Heating, Swimming, Optimization, Installation. DTIC Identifier(s): Swimming Pools, Solar Heating, Photovoltaic Supplies, Filter Pumps, Theses. Author(s) subject terms: Optimization, Solar Heating, Photovoltaics. Includes bibliographical references
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Jayakumar, Adithya. "Simulation-based optimization of Hybrid Systems Using Derivative Free Optimization Techniques." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531954151797307.

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Gerber, Howard L. "Optimization information retrieval from disparate menu driven systems." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/61052.

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Wei, Ermin. "Distributed optimization and market analysis of networked systems." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92968.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 173-179).<br>In the interconnected world of today, large-scale multi-agent networked systems are ubiquitous. This thesis studies two classes of multi-agent systems, where each agent has local information and a local objective
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Owen, James G. (James Gareth). "Performance optimization of highly uncertain systems in H infinity." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41162.

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The subject of this thesis is the attenuation of disturbances by feedback in the presence of large plant uncertainty in MIMO systems. Some relevant optimizations are formulated in an H$ sp infty$ setting, and are shown to reduce to a 'two-disc' mixed sensitivity problem. Despite its basic nature, the two-disc problem has not previously been solved, although approximations to it have been proposed. It is shown, by means of examples, that such approximations may involve large errors, highlighting the need for an accurate theory.<br>An accurate theory of the two-disc problem is achieved by expres
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Taringoo, Farzin. "Control and optimization of hybrid systems on Riemannian manifolds." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114351.

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The fundamental motivation for the work in this thesis is the analysis of the optimal control of hybrid systems on Riemannian manifolds using the language of differential geometry. Hybrid systems theory constitutes one of the major frameworks within which one may model and analyze the behaviour of large and complex systems; in particular, the optimal control of hybrid systems has been a focus of research over the last decades resulting in the important generalization of Minimum (Maximum) Principle of classic optimal control to hybrid systems. In the work of Shaikh and Caines (2007) and their
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Du, Dawei. "Biogeography-based optimization for combinatorial problems and complex systems." Cleveland State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1400504249.

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Books on the topic "Optimization of electrical systems"

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Roboam, Xavier, ed. Integrated Design by Optimization of Electrical Energy Systems. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118561812.

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Shin, Yung C. Intelligent systems: Modeling, optimization, and control. Taylor & Francis, 2009.

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Lei, Gang, Jianguo Zhu, and Youguang Guo. Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49271-0.

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Pandit, Manjaree, Hari Mohan Dubey, and Jagdish Chand Bansal, eds. Nature Inspired Optimization for Electrical Power System. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4004-2.

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Guzzella, Lino. Vehicle Propulsion Systems: Introduction to Modeling and Optimization. 3rd ed. Springer Berlin Heidelberg, 2013.

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Datta, Aniruddha. Linear control theory: Structure, robustness, and optimization. Taylor & Francis, 2009.

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Rekioua, Djamila. Optimization of Photovoltaic Power Systems: Modelization, Simulation and Control. Springer London, 2012.

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Resener, Mariana, Steffen Rebennack, Panos M. Pardalos, and Sérgio Haffner, eds. Handbook of Optimization in Electric Power Distribution Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36115-0.

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Momoh, James A. Electric power system applications of optimization. 2nd ed. Taylor & Francis, 2008.

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Electric power system applications of optimization. Marcel Dekker, 2001.

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Book chapters on the topic "Optimization of electrical systems"

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Wu, Qing-Hua, Jiehui Zheng, Zhaoxia Jing, and Xiaoxin Zhou. "Multi-objective Optimization Algorithms." In Energy Systems in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6943-8_3.

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Ghatee, Mehdi. "Optimization Techniques in Intelligent Transportation Systems." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56689-0_4.

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Lei, Gang, Jianguo Zhu, and Youguang Guo. "Design Optimization Methods for Electrical Drive Systems." In Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49271-0_5.

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Barbosa, Ramiro S., and Isabel S. Jesus. "Optimization of Control Systems by Cuckoo Search." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10380-8_12.

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Gonsalves, Tad, and Kiyoshi Itoh. "Simulation Optimization of Practical Concurrent Service Systems." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3517-2_6.

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Lei, Gang, Jianguo Zhu, and Youguang Guo. "Design Optimization Methods for Electrical Machines." In Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49271-0_4.

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Lei, Gang, Jianguo Zhu, and Youguang Guo. "Optimization Methods." In Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49271-0_3.

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Kłos, Andrzej. "Logical Optimization Method of Network System." In Mathematical Models of Electrical Network Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52178-7_14.

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Espanet, Christophe, Daniel Depernet, Anne-Claire Sautter, and Zhenwei Wu. "Analytical Sizing Models for Electrical Energy Systems Optimization." In Integrated Design by Optimization of Electrical Energy Systems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118561812.ch2.

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Zaoui, Fabrice. "Large Electrical Power Systems Optimization Using Automatic Differentiation." In Advances in Automatic Differentiation. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68942-3_26.

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Conference papers on the topic "Optimization of electrical systems"

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Ramasubramanian, Ramesh, D. Prabhu, and G. Karthikeyan. "Optimization techniques in electrical systems." In 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT). IEEE, 2013. http://dx.doi.org/10.1109/iccpct.2013.6528856.

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Laird, Cary, Donald Docimo, Christopher T. Aksland, and Andrew G. Alleyne. "Graph-Based Design and Control Optimization of a Hybrid Electrical Energy Storage System." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3233.

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Abstract Hybrid energy storage systems are a popular alternative to traditional electrical energy storage mechanisms for electric vehicles. Consisting of multiple heterogeneous storage elements, these systems require thoughtful design and control techniques to ensure adequate electrical performance and minimal added weight. In this work, a graph-based design optimization framework is extended to facilitate design and control optimization of a battery-ultracapacitor hybrid energy storage system. For a given high ramp rate load profile, a hybrid electrical energy storage system consisting of bat
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Dorai, Arvind, Kumaraswamy Ponnambalam, and Arnold W. Heemink. "Yield optimization of electrical circuits." In 2009 3rd International Conference on Signals, Circuits and Systems (SCS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icscs.2009.5412285.

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Bodden, David, Bob Eller, and Scott Clements. "Integrated Electrical and Thermal Management Sub-system Optimization." In Power Systems Conference. SAE International, 2010. http://dx.doi.org/10.4271/2010-01-1812.

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Lozanov, Yavor. "Optimization of algorithms for diagnostics of electrical systems." In 2020 12th Electrical Engineering Faculty Conference (BulEF). IEEE, 2020. http://dx.doi.org/10.1109/bulef51036.2020.9326088.

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Chun Lim, Siow, Lee Weng Choun, Chandima Gomes, and Mohd Zainal Abidin Ab Kadir. "Environmental effects on the performance of electrical grounding systems." In 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2013. http://dx.doi.org/10.1109/peoco.2013.6564567.

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Duchaud, J. L., S. Hlioui, F. Louf, and M. Gabsi. "Electrical machine optimization using a kriging predictor." In 2014 17th International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2014. http://dx.doi.org/10.1109/icems.2014.7014091.

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Pereira, Jorge, Jorge Alves, and Manuel Matos. "Optimization of electrical distribution network operation based on EPSO." In 2015 18th International Conference on Intelligent System Application to Power Systems (ISAP). IEEE, 2015. http://dx.doi.org/10.1109/isap.2015.7325549.

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Asif, Samina, and Yun Li. "Multi-Objective Optimization of Spacecraft Electrical Power Subsystem Design/Sizing." In Power Systems Conference. SAE International, 2006. http://dx.doi.org/10.4271/2006-01-3059.

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Bhardwaj, Bhavya, J. Jaiharie, R. Sorabh Dadhich, Syed Ishtiyaq Ahmed, and M. Ganesan. "Windfarm optimization using Nelder-Mead and Particle Swarm optimization." In 2021 7th International Conference on Electrical Energy Systems (ICEES). IEEE, 2021. http://dx.doi.org/10.1109/icees51510.2021.9383684.

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Reports on the topic "Optimization of electrical systems"

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Lesieutre, Bernard C., and Daniel K. Molzahn. Optimization and Control of Electric Power Systems. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1159823.

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Chiang, Hsiao-Dong, Ray D. Zimmerman, and Robert J. Thomas. TAS: 89 0227: TAS Recovery Act - Optimization and Control of Electric Power Systems: ARRA. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1126436.

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A. Ilic, E. Baker, R. Hatcher, S. Ramakrishnan, and et al. NSTX Electrical Power Systems. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15127.

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Cassandras, Christos G. Performance Optimization of Complex Systems. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada495123.

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Birge, John. Stochastic Optimization of Complex Systems. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1124082.

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Author, Not Given. Heavy vehicle systems optimization program. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1216934.

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Cooper, Keith D., Devika Subramanian, and Linda Torczon. Code Optimization for Embedded Systems. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada417472.

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Newby, R. A., G. J. Bruck, M. A. Alvin, and T. E. Lippert. OPTIMIZATION OF ADVANCED FILTER SYSTEMS. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/794054.

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Newby, R. A., M. A. Alvin, G. J. Bruck, T. E. Lippert, E. E. Smeltzer, and M. E. Stampahar. OPTIMIZATION OF ADVANCED FILTER SYSTEMS. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/803192.

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Muljadi, Eduard, Robert Nelms, Erol Chartan, Robi Robichaud, Lindsay George, and Henry Obermeyer. Electrical Systems of Pumped Storage Hydropower Plants: Electrical Generation, Machines, Power Electronics, and Power Systems. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1804447.

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