{"id":30,"date":"2020-07-21T19:31:29","date_gmt":"2020-07-21T19:31:29","guid":{"rendered":"http:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/?page_id=30"},"modified":"2022-08-27T07:30:10","modified_gmt":"2022-08-27T07:30:10","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p><strong>Journal Articles:<\/strong><\/p>\n<p>2022:<\/p>\n<ul>\n<li><u>Y. Sun<\/u>, J. Tu, <strong>M. A. Bragin<\/strong>, and L. Zhang, \u201cA Simulation-based Integrated Virtual Testbed for Dynamic Optimization in Smart Manufacturing Systems,\u201d Journal of Advanced Manufacturing and Processing, 2022, e10141. DOI: 10.1002\/amp2.10141.<\/li>\n<li><u>N. Nikmehr<\/u>, <strong>M. A. Bragin<\/strong>, P. B. Luh, and P. Zhang, \u201cComputationally Distributed and Asynchronous Operational Optimization of Droop-Controlled Networked Microgrids,\u201d IEEE Open Access Journal of Power and Energy, vol. 9, July 2022, 265\u00a0&#8211; 277. DOI: 10.1109\/OAJPE.2022.3188733.<\/li>\n<li><u>F. Feng<\/u>, P. Zhang, <strong>M. A. Bragin<\/strong>, and Y. Zhou, \u201cNovel Resolution of Unit Commitment Problems through Quantum Surrogate Lagrangian Relaxation,\u201d accepted to IEEE Transactions on Power Systems.<\/li>\n<li><u>W. Wan<\/u>, P. Zhang, <strong>M. A. Bragin<\/strong>, and P. B. Luh, \u201cCooperative Fault Management for Resilient Integration of Renewable Energy,\u201d Electric Power Systems Research, Volume 211, October 2022, 108147. <a href=\"https:\/\/doi.org\/10.1016\/j.epsr.2022.108147\">DOI:\u00a010.1016\/j.epsr.2022.108147<\/a>.<\/li>\n<li><strong>M. A. Bragin,<\/strong> B. Yan, A. Kumar, N. Yu, and P. Zhang, \u201cEfficient Operations of Micro-Grids with Meshed Topology and Under Uncertainty through Exact Satisfaction of AC-PF, Droop Control and Tap-Changer Constraints,\u201d Energies, 2022, 15(10), 3662. <a href=\"https:\/\/doi.org\/10.3390\/en15103662\">DOI:\u00a010.3390\/en15103662<\/a><\/li>\n<li><u>N. Raghunathan<\/u>, <strong>M. A. Bragin<\/strong>, B. Yan, P. B. Luh, K. Moslehi, X. Feng, Y. Yu, C.-N. Yu, and C.-C. Tsai, \u201cExploiting Soft Constraints within Decomposition and Coordination Methods for Sub-Hourly Unit Commitment,\u201d International Journal of Electrical Power &amp; Energy Systems, Volume 139, July 2022, 108023. <a href=\"https:\/\/doi.org\/10.1016\/j.ijepes.2022.108023\">DOI:\u00a010.1016\/j.ijepes.2022.108023<\/a>.<\/li>\n<li>D. Zhdanov, S. Bhattacharjee, and <strong>M. A. Bragin,<\/strong> \u201cIncorporating FAT and Privacy Aware AI Modeling Approaches into Business Decision Making Frameworks,\u201d Decision Support Systems, Volume 155, April 2022, 113715. <a href=\"https:\/\/doi.org\/10.1016\/j.dss.2021.113715\">DOI:\u00a010.1016\/j.dss.2021.113715<\/a>.<\/li>\n<li><strong>M. A. Bragin<\/strong>, and Y. Dvorkin, \u201cTSO-DSO Operational Planning Coordination through \u201c<em>l<\/em><sub>1<\/sub>-Proximal\u201d Surrogate Lagrangian Relaxation,\u201d IEEE Transactions on Power Systems, vol. 37, no. 2, March 2022, pp. 1274-1285. DOI: 10.1109\/TPWRS.2021.3101220.<\/li>\n<li><u>N. Nikmehr<\/u>, P. Zhang, and <strong>M. A. Bragin<\/strong>, \u201cQuantum Distributed Unit Commitment: An Application in Microgrids,\u201d IEEE Transactions on Power Systems, Volume: 37, Issue: 5, September 2022, pp. 3592 &#8211; 3603. DOI:<a href=\"https:\/\/doi.org\/10.1109\/TPWRS.2022.3141794\">10.1109\/TPWRS.2022.3141794<\/a>.<\/li>\n<\/ul>\n<p>2021:<\/p>\n<ul>\n<li><u>J. Wu<\/u>, P. B. Luh, Y. Chen, <strong>M. A. Bragin<\/strong>, and B. Yan, \u201cA Novel Optimization Approach for Sub-Hourly Unit Commitment with Large Numbers of Generators and Virtual Transactions,\u201d IEEE Transactions on Power Systems, vol. 37,\u00a0issue 5, September 2022, pp.3716\u00a0\u2013 3725. DOI:\u00a0<a href=\"https:\/\/doi.org\/10.1109\/TPWRS.2021.3137842\">10.1109\/TPWRS.2021.3137842<\/a>.<\/li>\n<li><u>A.-B. Liu<\/u>, P. B. Luh, B. Yan, and <strong>M. A. Bragin<\/strong>, \u201cA Novel Integer Linear Formulation for Job-shop Scheduling Problems,\u201d IEEE Robotics and Automation Letters, vol. 6, no. 3, Jun. 2021, pp. 5937\u00a0\u2013 5944. DOI:\u00a010.1109\/LRA.2021.3086422.<\/li>\n<li>L. S. Thakur, and <strong>M. A. Bragin<\/strong>, \u201cData Interpolation by Near-Optimal Splines with Free Knots Using Linear Programming,\u201d Mathematics, 9, 1099, 2021. DOI: 10.3390\/math9101099.<\/li>\n<li>B. Yan, <strong>M. A. Bragin<\/strong>, and P. B. Luh, \u201cAn Innovative and Systematic Formulation Tightening Method for Job-Shop Scheduling,\u201d IEEE Transactions on Automation Science and Engineering, vol. 19, issue 3, July 2022, pp. 2526\u2013 2539. DOI: 10.1109\/TASE.2021.3088047.<\/li>\n<\/ul>\n<p>2020:<\/p>\n<ul>\n<li><u>A.-B. Liu<\/u>, P. B. Luh, <strong>M. A. Bragin<\/strong>, and B. Yan, \u201cOrdinal-Optimization Concept Enabled Decomposition and Coordination of Mixed-Integer Linear Programming Problems,\u201d IEEE Robotics and Automation Letters, vol. 5, issue 4, Oct. 2020, pp. 5051\u00a0\u2013 5058. DOI: 10.1109\/LRA.2020.3005125.<\/li>\n<li><u>W. Wan<\/u>, <strong>M. A. Bragin<\/strong>, B. Yan, Y. Qin, J. Philhower, P. Zhang, and P. B. Luh, \u201cDistributed and Asynchronous Active Fault Management for Networked Microgrids,\u201d IEEE Transactions on Power Systems, vol. 35, issue 5, Sept. 2020, pp. 3857\u00a0\u2013 3868. DOI: 10.1109\/TPWRS.2020.2976044.<\/li>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, and B. Yan, \u201cDistributed and Asynchronous Coordination of a Mixed-Integer Linear System via Surrogate Lagrangian Relaxation,\u201d IEEE Transaction on Automation Science and Engineering, vol. 18, issue 3, June 2020, pp. 1191\u00a0\u2013 1205. DOI: 10.1109\/TASE.2020.2998048.<\/li>\n<li>B. Yan, P. B. Luh, E. Litvinov, T. Zheng, D. Schiro, <strong>M. A. Bragin<\/strong>, F. Zhao, J. Zhao, and I. Lelic, \u201cA Systematic Formulation Tightening Approach for Unit Commitment Problems,\u201d IEEE Transactions on Power Systems, vol. 35, issue 1, Jan. 2020, pp. 782\u00a0\u2013 794. DOI: 10.1109\/TPWRS.2019.2935003.<\/li>\n<\/ul>\n<p>2019:<\/p>\n<ul>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, B. Yan, and X. Sun, \u201cA Scalable Solution Methodology for Mixed-Integer Linear Programming Problems Arising in Automation,\u201d IEEE Transaction on Automation Science and Engineering, vol. 16, issue 2, April 2019, pp. 531\u00a0\u2013 541. DOI: 10.1109\/TASE.2018.2835298. <strong>(2020 Best Transactions Paper Honorable Mention)<\/strong><\/li>\n<\/ul>\n<p>2018:<\/p>\n<ul>\n<li>B. Yan<sup>\u2021<\/sup>, <strong>M. A. Bragin<\/strong><sup>\u2021<\/sup>, and P. B. Luh, \u201cNovel Formulation and Resolution of Job-Shop Scheduling Problems,\u201d IEEE Robotics and Automation Letters, vol. 3, no. 4, Oct. 2018, pp. 3387\u00a0\u2013 3393. DOI:\u00a0<a href=\"https:\/\/doi.org\/10.1109\/LRA.2018.2850056\">10.1109\/LRA.2018.2850056<\/a><\/li>\n<li>X. Sun, P. B. Luh, <strong>M. A. Bragin<\/strong>, Y. Chen, J. Wan, and F. Wang, \u201cA Novel Decomposition and Coordination Approach for Large-Scale Security Constrained Unit Commitment Problems with Combined Cycle Units,\u201d IEEE Transactions on Power Systems, vol. 33, issue 5, Sept. 2018, pp. 5297\u00a0\u2013 5308. DOI:\u00a0<a href=\"https:\/\/doi.org\/10.1109\/PESGM.2017.8274098\">10.1109\/PESGM.2017.8274098<\/a>.<\/li>\n<\/ul>\n<p>2017:<\/p>\n<ul>\n<li>B. Yan, H. Fan, P. B. Luh, K. Moslehi, X. Feng, C.-N. Yu, <strong>M. A. Bragin<\/strong>,\u00a0and Y. Yu, \u201cGrid Integration of Wind Generation Considering Remote Wind Farms: Hybrid Markovian and Interval Unit Commitment,\u201d\u00a0IEEE\/CAA Journal of Automatica Sinica, vol. 4, no. 2, April 2017, pp. 205\u00a0\u2013 215.<\/li>\n<\/ul>\n<p>2016:<\/p>\n<ul>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, J. H. Yan, and G. A. Stern, \u201cAn Efficient Approach for Solving Mixed-Integer Programming Problems under the Monotonic Condition,\u201d Journal of Control and Decision, vol. 3, no. 1, January 2016, pp. 44 \u2013 67.<\/li>\n<\/ul>\n<p>2015:<\/p>\n<ul>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, J. H. Yan, N. Yu, and G. A. Stern, \u201cConvergence of the Surrogate Lagrangian Relaxation Method,\u201d Journal of Optimization Theory and Applications, vol. 164, issue 1, 2015, pp. 173\u00a0\u2013 201, DOI: 10.1007\/s10957-014-0561-3.<\/li>\n<\/ul>\n<p><strong>Conference Proceedings:<\/strong><\/p>\n<ol>\n<li>D. Gurevin<sup>\u2021<\/sup>, <strong>M. A. Bragin<\/strong><sup>\u2021<\/sup>, C. Ding<sup>\u2021<\/sup>, S. Zhou, L. Pepin, B. Li, and F. Miao, \u201cEnabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation,\u201d Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), pp. 2497-2504. DOI: <a href=\"https:\/\/www.ijcai.org\/proceedings\/2021\/344\" target=\"_blank\" rel=\"noopener\">10.24963\/ijcai.2021\/344<\/a> (Acceptance rate: 13.9%)<\/li>\n<li>W. Wan, <strong>M. A. Bragin<\/strong>, P. B. Luh, and P. Zhang, \u201cDA-AFM for Ultra PV and Wind Energy Integration,\u201d to appear in proceedings of the IEEE PES 2021 General Meeting<\/li>\n<li>F. Hyder, B. Yan, <strong>M. A. Bragin,<\/strong> and P. B. Luh, \u201cImpacts of UC Formulation Tightening on Computation of Convex Hull Prices,\u201d to appear in proceedings of the IEEE PES 2021 General Meeting<\/li>\n<li>B. Yan, <strong>M. A. Bragin<\/strong>, and P. B. Luh, \u201cTightened Formulation and Resolution of Energy-Efficient Job-Shop Scheduling,\u201d Proceedings of the IEEE 2020 IEEE CASE.<\/li>\n<li>J. Wu, P. B. Luh, Y. Chen, B. Yan, and <strong>M. A. Bragin<\/strong>, \u201cA Decomposition and Coordination Approach for Large Sub-Hourly Unit Commitment,\u201d Proceedings of the IEEE PES 2020 General Meeting, Montreal, Canada, 2020 (virtual conference).<\/li>\n<li>B. Yan, P. B. Luh, E. Litvinov, T. Zheng, D. Schiro, <strong>M. A. Bragin<\/strong>, F. Zhao, J. Zhao, and I. Lelic, \u201cEffects of Tightening Unit-level and System-level Constraints in Unit Commitment,\u201d Proceedings of the IEEE PES 2019 General Meeting, Atlanta, GA, 2019.<\/li>\n<li>W. Wan, Y. Li, B. Yan, <strong>M. A. Bragin<\/strong>, J. Philhower, P. Zhang, and P. B. Luh, \u201cActive Fault Management for Networked Microgrids,\u201d Proceedings of the IEEE PES 2019 General Meeting, Atlanta, GA, 2019.<\/li>\n<li>W. Wan, Y. Li, B. Yan, <strong>M. A. Bragin<\/strong>, J. Philhower, P. Zhang, P. B. Luh, and G. Warner, \u201cActive Fault Management for Microgrids,\u201d the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON), Washington, D.C., 2018.<\/li>\n<li><strong>M. A. Bragin<\/strong>, B. Yan, Y. Li, P. B. Luh, and P. Zhang, \u201cEconomic Dispatch for a Distribution Network with Intermittent Renewables and Tap Changers,\u201d Proceedings of the IEEE PES 2018 General Meeting, Portland, Oregon, 2018.<\/li>\n<li>B. Yan, P. B. Luh, E. Litvinov, T. Zheng, D. Schiro, <strong>M. A. Bragin<\/strong>, F. Zhao, J. Zhao, and I. Lelic, \u201cA Systematical Approach to Tighten Unit Commitment Formulations,\u201d Proceedings of the IEEE PES 2018 General Meeting, Portland, OR. (<strong>Best Paper Session<\/strong>)<\/li>\n<li><strong>M. A. Bragin<\/strong>, and Y. Dvorkin, \u201cToward Coordinated Transmission and Distribution Operations,\u201d Proceedings of the IEEE PES 2018 General Meeting, Portland, OR, 2018.<\/li>\n<li>X. Sun, P. B. Luh, <strong>M. A. Bragin<\/strong>, Y. Chen, J. Wan, and F. Wang, \u201cA Decomposition and Coordination Approach for Large-Scale Security Constrained Unit Commitment Problems with Combined Cycle Units,\u201d Proceedings of the IEEE PES 2017 General Meeting, Chicago, IL, 2017. (<strong>Best Paper Session<\/strong>)<\/li>\n<li>B. Yan, P. B. Luh, E. Litvinov, T. Zheng, D. Schiro, <strong>M. A. Bragin<\/strong>, F. Zhao, J. Zhao, and I. Lelic \u201cEffective Modeling and Resolution of Generation-Dependent Ramp Rates for Unit Commitment,\u201d Proceedings of the IEEE PES 2017 General Meeting, Chicago, IL, 2017.<\/li>\n<li><strong>M. A. Bragin,<\/strong> and P. B. Luh, \u201cDistributed and Asynchronous Unit Commitment and Economic Dispatch,\u201d Proceedings of the IEEE PES 2017 General Meeting, Chicago, IL, 2017.<\/li>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, J. H. Yan, and G. A. Stern, \u201cAn Efficient Approach for Unit Commitment and Economic Dispatch with Combined Cycle Units and AC Power Flow,\u201d Proceedings of the IEEE PES 2016 General Meeting, Boston, MA, 2016.<\/li>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, J. H. Yan, and G. A. Stern, \u201cNovel Exploitation of Convex Hull Invariance for Solving Unit Commitment by Using Surrogate Lagrangian Relaxation and Branch-and-Cut,\u201d Proceedings of the IEEE PES 2015 General Meeting, Denver, CO, 2015.<\/li>\n<li>M. Di Somma, B. Yan, P. B. Luh, <strong>M. A. Bragin<\/strong>, N. Bianco, G. Graditi, L. Mongibello, and V. Naso, \u201cExergy-Efficient Management of Energy Districts.\u201d In: Proceedings of the 11th World Congress on Intelligent Control and Automation, Shenyang, China, 2014, 29 June \u2013 4 July, p. 2675\u201380.<\/li>\n<li>B. Yan, P. B. Luh, <strong>M. A. Bragin<\/strong>, C. Song, C. Dong, and Z. Gan, \u201cEnergy-Efficient Building Clusters,\u201d Proceedings of the IEEE 2014 IEEE CASE.<\/li>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, J. H. Yan, and G. A. Stern, \u201cSurrogate Lagrangian Relaxation and Branch-and-Cut for Unit Commitment with Combined Cycle Units,\u201d Proceedings of the IEEE PES 2014 General Meeting, National Harbor, MD, 2014. (<strong>Best Paper Session<\/strong>)<\/li>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, J. H. Yan, N. Yu, and G. A. Stern, \u201cEfficient Surrogate Optimization for Payment Cost Co-Optimization with Transmission Capacity Constraints,\u201d Proceedings of the IEEE PES 2013 General Meeting, Vancouver, Canada, 2013. (<strong>Best Paper Session<\/strong>)<\/li>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, and J. H. Yan, \u201cAn Efficient Surrogate Optimization Method for Solving Linear Mixed-Integer Problems with Cross-Coupling Constraints,\u201d Proceedings of the 10th WCICA, Beijing, China. 2012.<\/li>\n<li>X. Han, P. B. Luh, <strong>M. A. Bragin<\/strong>, J. H. Yan, N. Yu, and G. A. Stern, \u201cSolving Payment Cost Co-Optimization Problems,\u201d Proceedings of the IEEE PES 2012 General Meeting, San Diego, CA, 2012.<\/li>\n<li><strong>M. A. Bragin<\/strong>, P. B. Luh, J. H. Yan, N. Yu, X. Han, and G. A. Stern, \u201cAn Efficient Surrogate Subgradient Method within Lagrangian Relaxation for the Payment Cost Minimization Problem,\u201d Proceedings of the IEEE PES 2012 General Meeting, San Diego, CA, 2012.<\/li>\n<li>S. Bhattacharjee, <strong>M. A. Bragin<\/strong>, and D. Zhdanov, \u201cA Parsimonious Methodology for Recommendation Systems on Datasets with Minimal Attributes and Large Time Span\u201d, Statistical Challenges in Electronic Commerce Research (SCECR), 2012, Montreal, Quebec, Canada, June 28-29, 2012.<\/li>\n<li><strong>M. A. Bragin<\/strong>, X. Han, P. B. Luh, and J. H. Yan, \u201cPayment Cost Minimization Using Lagrangian Relaxation and Modified Surrogate Optimization Approach,\u201d Proceedings of the IEEE PES 2011 General Meeting, Detroit, MI, 2011.<\/li>\n<li>S. Bhattacharjee, <strong>M. A. Bragin<\/strong>, and D. Zhdanov, \u201cAccurate Recommendations of Online Movie Ratings: Large Data Sets with Low Dimensions and Span of Multiple Years\u201d, 2010 Winter Conference on Business Intelligence, University of Utah, Salt Lake City, Utah, 2010.<\/li>\n<li>D. Zhdanov, <strong>M. A. Bragin<\/strong>, and S. Bhattacharjee, \u201cAccurate Predictions of Online Movie Ratings: A Challenge to Improve Personalized Recommender Systems\u201d, INFORMS Conference on Information Systems and Technology (CIST), Washington DC, October 2009.<\/li>\n<li>Bhattacharjee, <strong>M. A. Bragin<\/strong>, and D. Zhdanov, \u201cData-driven Prediction of Consumer Choice\u201d, 2009 CORS\/INFORMS International Meeting, Toronto, Canada, June 14-17, 2009.<\/li>\n<li>Bhattacharjee, <strong>M. A. Bragin<\/strong>, and D. Zhdanov, \u201cA Million Dollar Reward: Accurate Online Prediction of Movie Ratings\u201d, Fifth Symposium on Statistical Challenges in e-Commerce Research, Carnegie Mellon University, Pittsburgh, PA, May 30-31, 2009.<\/li>\n<\/ol>\n<p><a href=\"http:\/\/s11.flagcounter.com\/more\/l2\"><img decoding=\"async\" src=\"https:\/\/s11.flagcounter.com\/count2\/l2\/bg_FFFFFF\/txt_000000\/border_CCCCCC\/columns_2\/maxflags_10\/viewers_0\/labels_0\/pageviews_0\/flags_0\/percent_0\/\" alt=\"Flag Counter\" border=\"0\" \/><\/a><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Journal Articles: 2022: Y. Sun, J. Tu, M. A. Bragin, and L. Zhang, \u201cA Simulation-based Integrated Virtual Testbed for Dynamic Optimization in Smart Manufacturing Systems,\u201d Journal of Advanced Manufacturing and Processing, 2022, e10141. DOI: 10.1002\/amp2.10141. N. Nikmehr, M. A. Bragin, P. B. Luh, and P. Zhang, \u201cComputationally Distributed and Asynchronous Operational Optimization of Droop-Controlled Networked [&hellip;]<\/p>\n","protected":false},"author":71,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-30","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/wp-json\/wp\/v2\/pages\/30","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/wp-json\/wp\/v2\/users\/71"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/wp-json\/wp\/v2\/comments?post=30"}],"version-history":[{"count":51,"href":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/wp-json\/wp\/v2\/pages\/30\/revisions"}],"predecessor-version":[{"id":238,"href":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/wp-json\/wp\/v2\/pages\/30\/revisions\/238"}],"wp:attachment":[{"href":"https:\/\/www.ee.uconn.edu\/mikhail-a-bragin\/wp-json\/wp\/v2\/media?parent=30"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}