Cited By
The following cite https://gocompetition.gov, ARPA-E GO Competition, or a dervivative as a reference as of April 24, 2024.
Agarwal, Aayushya, Priya L. Donti, J. Zico Kolter, and Larry Pileggi. "Employing adversarial robustness techniques for large-scale stochastic optimal power flow." Electric Power Systems Research 212 (2022): 108497. https://doi.org/10.1016/j.epsr.2022.108497
Agarwal, Aayushya, Amritanshu Pandey, Naeem Turner Bandele, and Larry Pileggi. "Generalized Smooth Functions for Modeling Steady-State Response of Controls in Transmission and Distribution." Electric Power Systems Research 213 (2022): 108657. https://doi.org/10.1016/j.epsr.2022.108657
Agarwal, Aayushya, Amritanshu Pandey, and Larry Pileggi. "Fast AC Steady-State Power Grid Simulation and Optimization Using Prior Knowledge," 2021 IEEE Power & Energy Society General Meeting (PESGM), Washington, DC, USA, 2021, pp. 1-5. https://doi.org/10.1109/PESGM46819.2021.9637903
Agarwal, Aayushya, Amritanshu Pandey, and Larry Pillegi. "Continuous switch model and heuristics for mixed-integer problems in power systems." arXiv preprint arXiv:2206.14510 (2022). https://arxiv.org/abs/2206.14510
Ahunbay, Mete Şeref, Martin Bichler, and Johannes Knörr. "Pricing Optimal Outcomes in Coupled and Non-Convex Markets: Theory and Applications to Electricity Markets." arXiv preprint arXiv:2209.07386 (2022). https://doi.org/10.48550/arXiv.2209.07386
Ahunbay, Mete Şeref, Martin Bichler, Teodora Dobos, and Johannes Knörr. "Solving Large-Scale Electricity Market Pricing Problems in Polynomial Time." arXiv preprint arXiv:2312.07071 (2023). https://doi.org/10.48550/arXiv.2312.07071
Ahunbay, Mete Şeref, Martin Bichler, and Johannes Knörr. "Challenges in Designing Electricity Spot Markets." NBER Chapters (2023). https://www.nber.org/system/files/chapters/c14932/c14932.pdf
Aigner, Kevin-Martin, Robert Burlacu, Frauke Liers, and Alexander Martin. "Solving AC optimal power flow with discrete decisions to global optimality." INFORMS Journal on Computing 35, no. 2 (2023): 458-474. https://doi.org/10.1287/ijoc.2023.1270
Anjos, Miguel F. "Semidefinite Optimization Approaches for Reactive Optimal Power Flow Problems." https://www.irt-systemx.fr/wp-content/uploads/2022/10/Anjos-Seminar@Sx.pdf
Aravena, Ignacio, Quentin Lété, Anthony Papavasiliou, and Yves Smeers. "Transmission capacity allocation in zonal electricity markets." Operations Research 69, no. 4 (2021): 1240-1255. https://doi.org/10.1287/opre.2020.2082
Aravena, Ignacio, Daniel K. Molzahn, Shixuan Zhang, Cosmin G. Petra, Frank E. Curtis, Shenyinying Tu, Andreas Wächter, Ermin Wei, Elizabeth Wong, Amin Gholami, Kaizhao Sun, Xu Andy Sun, Stephen T. Elbert, Jesse T. Holzer, Arun Veeramany. "Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition." Operations Research 0(0). Published Online:1 Sep 2023. https://doi.org/10.1287/opre.2022.0315 Cited by 15
Arévalo Bonilla, Juan Camilo. "Comparación de flujo óptimo de potencia con métodos heurísticos en sistemas de potencia con alta penetración de energía renovable." Masters (Electrical Engineering) dissertation, Universidad Nacional de Colombia, 2020. https://repositorio.unal.edu.co/handle/unal/78178
Arrigo, Adriano, Jalal Kazempour, Zacharie De Grève, Jean-François Toubeau, and François Vallée. "Embedding Dependencies Between Wind Farms in Distributionally Robust Optimal Power Flow," in IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5156-5169, Nov. 2023. https://doi.org/10.1109/TPWRS.2022.3221348
Avramidis, Iason-Iraklis, Florin Capitanescu, Stavros Karagiannopoulos, and Evangelos Vrettos. "A novel approximation of security-constrained optimal power flow with incorporation of generator frequency and voltage control response." IEEE Transactions on Power Systems 36, no. 3 (2020): 2438-2447. https://doi.org/10.1109/TPWRS.2020.3028427
Avramidis, Iason-Iraklis, Georgios Cheimonidis, and Pavlos Georgilakis. "Ineffective control actions in OPF problems: Identification, suppression and security aspects." Electric Power Systems Research 212 (2022): 108228. https://doi.org/10.1016/j.epsr.2022.108228
Babaeinejadsarookolaee, Sogol, Adam Birchfield, Richard D. Christie, Carleton Coffrin, Christopher DeMarco, Ruisheng Diao, Michael Ferris, Stephane Fliscounakis, Scott Greene, Renke Huang, Cedric Josz, Roman Korab, Bernard Lesieutre, Jean Maeght, Terrence W. K. Mak, Daniel K. Molzahn, Thomas J. Overbye, Patrick Panciatici, Byungkwon Park, Jonathan Snodgrass, Ahmad Tbaileh, Pascal Van Hentenryck, Ray Zimmerman. "The power grid library for benchmarking ac optimal power flow algorithms." arXiv preprint arXiv:1908.02788 (2019). https://doi.org/10.48550/arXiv.1908.02788 Frequently cited as Competition Data reference instead of citing Competition directly. Cited by 223
Baldick, Ross, Steven Low, Richard O’Neill, Daniel Ralph, and Golbon Zakeri. "Preface to Special Issue on Computational Advances in Short-Term Power System Operations." Operations Research (2023). Published Online: 20 Nov 2023. https://doi.org/10.1287/opre.intro.v71.n6
Bazrafshan, Mohammadhafez, Kyri Baker, and Javad Mohammadi. "Computationally efficient solutions for large-scale security-constrained optimal power flow." arXiv preprint arXiv:2006.00585 (2020). https://doi.org/10.48550/arXiv.2006.00585
Beck, Yasmine, Daniel Bienstock, Martin Schmidt, and Johannes Thürauf. "On a Computationally Ill-Behaved Bilevel Problem with a Continuous and Nonconvex Lower Level." Journal of Optimization Theory and Applications (2023): 1-20. https://doi.org/10.1007/s10957-023-02238-9
Bienstock, Daniel. "15 Uncertainty-Aware Power Systems Operation." Advanced Data Analytics for Power Systems (2021): 363. https://books.google.com/books?hl=en&lr=&id=0b4OEAAAQBAJ&oi=fnd&pg=PA363&dq=%22gocompetition%22&ots=4d8PnHQ4S7&sig=5CkrLPb6hINP0lQOVJemaMp9Vhw#v=onepage&q&f=false
Bienstock, Daniel and Matìas Villagra. "Accurate and Warm-Startable Linear Cutting-Plane Relaxations for ACOPF. (2024). " https://optimization-online.org/wp-content/uploads/2024/02/cutplane_paper-1.pdf
Bienstock, Daniel and Matìas Villagra. "Accurate Linear Cutting-Plane Relaxations for ACOPF." arXiv preprint arXiv:2312.04251 (2023). https://arxiv.org/abs/2312.04251
Bichler, Martin, Hans Ulrich Buhl, Johannes Knörr, Felipe Maldonado, Paul Schott, Stefan Waldherr, and Martin Weibelzahl. "Electricity Markets in a Time of Change: A Call to Arms for Business Research." Schmalenbach J Bus Res 74, 77–102 (2022). https://doi.org/10.1007/s41471-021-00126-4
Bichler, Martin, and Johannes Knörr. "Getting prices right on electricity spot markets: On the economic impact of advanced power flow models." Energy Economics 126 (2023): 106968. https://doi.org/10.1016/j.eneco.2023.106968
Birchfield, Adam B., Thomas J. Overbye. "A Review on Providing Realistic Electric Grid Simulations for Academia and Industry. Current Sustainable Renewable Energy Rep 10, 154–161 (2023). https://doi.org/10.1007/s40518-023-00212-7
Bose, Anjan, Thomas J Overbye. "Electricity Transmission System Research and Development: Grid Operations", "Transmission Innovation Symposium." (2021). https://overbye.engr.tamu.edu/wp-content/uploads/sites/146/2022/11/Grid-Operations-Bose-Overbye_0.pdf
Capitanescu, Florin, "Evaluating reactive power reserves scarcity during the energy transition toward 100% renewable supply," Electric Power Systems Research, Volume 190, 2021, 106672, ISSN 0378-7796, https://doi.org/10.1016/j.epsr.2020.106672.
Chiang, Hsiao-Dong. High Performance Solution for Security Constrained Optimal Power Flow. No. DE-AR00001299. Global Optimal Technology, Inc., 2022. https://doi.org/10.2172/1863594
Chevalier, Samuel. "A Parallelized, Adam-Based Solver for Reserve and Security Constrained AC Unit Commitment." arXiv:2310.06650v1, 10 Oct 2023. https://doi.org/10.48550/arXiv.2310.06650
Crozier, Constance, and Kyri Baker. "Data-driven Probabilistic Constraint Elimination for Accelerated Optimal Power Flow," 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5, https://doi.org/10.1109/PESGM48719.2022.9916838
Crozier, Constance, Kyri Baker, Yuhan Du, Javad Mohammadi, and Meiyi Li. "Data-driven contingency selection for fast security constrained optimal power flow." In 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), pp. 1-6. IEEE, 2022. https://doi.org/10.1109/PMAPS53380.2022.9810574
Crozier, Constance, Kyri Baker, and Bridget Toomey. "Feasible region-based heuristics for optimal transmission switching." Sustainable Energy, Grids and Networks 30 (2022): 100628. https://doi.org/10.1016/j.segan.2022.100628
Curtis, Frank E., Daniel K. Molzahn, Shenyinying Tu, Andreas Wächter, Ermin Wei, and Elizabeth Wong. "A Decomposition Algorithm for Large-Scale Security-Constrained AC Optimal Power Flow." arXiv preprint arXiv:2110.01737 (2021). https://doi.org/10.48550/arXiv.2110.01737
Curtis, Frank E., Daniel K. Molzahn, Shenyinying Tu, Andreas Wächter, Ermin Wei, and Elizabeth Wong. "A decomposition algorithm with fast identification of critical contingencies for large-scale security-constrained AC-OPF." Operations Research (2023). https://doi.org/10.1287/opre.2023.2453
Coffrin, Carleton James. "ARPA-E Grid Optimization Competition: Benchmark algorithm overview." No. LA-UR-21-29904. Los Alamos National Lab (LANL). Los Alamos, NM (United States). 2021. https://www.osti.gov/servlets/purl/1825378
Coffrin, Carleton. "A Brief Introduction to Mathematical Optimization in Julia (Part 1)." No. LA-UR-21-20278. Los Alamos National Lab (LANL), Los Alamos, NM (United States). 2021. https://cnls.lanl.gov/External/GSSlides2021/Coffrin%20-%202.pdf Cited by 279
Coffrin, Carleton James. "Open-source Tools for Solving Grid Optimization Problems: ARPA-e Benchmark Algorithm Overview." No. LA-UR-22-31253. Los Alamos National Lab (LANL). Los Alamos, NM (United States). 2022. https://doi.org/10.2172/1894824
Coffrin, Carleton, Russell Bent, Kaarthik Sundar, Yeesian Ng, and Miles Lubin. "Powermodels. jl: An open-source framework for exploring power flow formulations." In 2018 Power Systems Computation Conference (PSCC), pp. 1-8. IEEE, 2018. https://doi.org/10.23919/PSCC.2018.8442948
Coffrin, Carleton, Bernard Knueven, Jesse Holzer, and Marc Vuffray. "The impacts of convex piecewise linear cost formulations on AC optimal power flow." Electric Power Systems Research 199 (2021): 107191. https://doi.org/10.1016/j.epsr.2021.107191Davoodi, Elnaz, Florin Capitanescu, and Louis Wehenkel. "A Methodology to Evaluate Reactive Power Reserves Scarcity during the Energy Transition." IEEE Transactions on Power Systems, Sept. 2023. https://doi.org/10.1109/TPWRS.2022.3216639
Dawson, Charles, and Chuchu Fan. "Adversarial optimization leads to over-optimistic security-constrained dispatch, but sampling can help." arXiv preprint arXiv:2310.06956 (2023). https://doi.org/10.48550/arXiv.2310.06956
Dawson, Charles, and Chuchu Fan. "A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling." arXiv preprint arXiv:2309.08052 (2023). https://doi.org/10.48550/arXiv.2309.08052
Diao, Ruisheng, Di Shi, Bei Zhang, Siqi Wang, Haifeng Li, Chunlei Xu, Tu Lan, Desong Bian, and Jiajun Duan. "On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control." arXiv preprint arXiv:2012.06458 (2020). https://doi.org/10.48550/arXiv.2012.06458
Donti, Priya. "Bridging Deep Learning and Electric Power Systems." PhD dissertation, Carnegie Mellon University, 2022. https://kilthub.cmu.edu/ndownloader/files/37907025
Donti, Priya, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry Pileggi, and J. Zico Kolter. "Adversarially robust learning for security-constrained optimal power flow." Advances in Neural Information Processing Systems 34 (2021): 28677-28689. https://proceedings.neurips.cc/paper_files/paper/2021/hash/f0f07e680de407b0f12abf15bd520097-Abstract.html
Donti, Priya L., Inês Lima Azevedo, and J. Zico Kolter. "Inverse optimal power flow: Assessing the vulnerability of power grid data." In NeurIPS Workshop on AI for Social Good. 2018. https://aiforsocialgood.github.io/2018/pdfs/track1/118_aisg_neurips2018.pdf
Donti, Priya L., and J. Zico Kolter. "Machine learning for sustainable energy systems." Annual Review of Environment and Resources 46 (2021): 719-747. https://doi.org/10.1146/annurev-environ-020220-061831
Eldridge, Brent, Anya Castillo, Bernard Knueven, and Manuel Joseph Garcia. Sparse Dense and Compact Linearizations of the AC OPF (Online Supplement). No. SAND-2020-13322R. Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Johns Hopkins Univ., Baltimore, MD (United States); Federal Energy Regulatory Commission, Washington, DC (United States); National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020. https://doi.org/10.2172/1734445
Eldridge, Brent C., and Abhishek Somani. Impact of FERC Order 2222 on DER Participation Rules in US Electricity Markets. No. PNNL-33383. Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2022. https://doi.org/10.2172/1968796
Fatokun, Stephen Opeyemi. "Heuristics for Lagrangian Relaxation Formulations for the Unit Commitment Problem." PhD dissertation, University of Tennessee, 2023. https://trace.tennessee.edu/utk_graddiss/8735
Ferrando, Robert, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, and Michael Chertkov. "A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study." arXiv preprint arXiv:2304.00062 (2023). https://doi.org/10.48550/arXiv.2304.00062
Garcia, Manuel and Richard O'Neill. "Average Incremental Cost Pricing for the AC Unit Commitment Problem." No. LA-UR-24-20544. Los Alamos National Lab (LANL). Los Alamos, NM (United States). 2024. https://doi.org/10.2172/2282521
Geth, Frederik, Marta Vanin, Werner Van Westering, Terese Milford, and Amritanshu Pandey. "Making Distribution State Estimation Practical: Challenges and Opportunities." arXiv preprint arXiv:2311.07021 (2023). https://doi.org/10.48550/arXiv.2311.07021
Gholami, Amin, Kaizhao Sun, Shixuan Zhang, and Xu Andy Sun. "An ADMM-based distributed optimization method for solving security-constrained AC optimal power flow." arXiv preprint arXiv:2202.06787 (2022). https://doi.org/10.1287/opre.2023.2486
Gholami, Amin, Kaizhao Sun, Shixuan Zhang, and Xu Andy Sun. "An Alternating Direction Method of Multipliers-Based Distributed Optimization Method for Solving Security-Constrained Alternating Current Optimal Power Flow." Operations Research (2023). https://doi.org/10.1287/opre.2023.2486
Giacomarra, Francesco. "Generating Synthetic Power Grids using Exponential Random Graph Models." Masters dissertation, Università degli studi di Padova, 2021. https://thesis.unipd.it/handle/20.500.12608/34901
Gong, Lin, Yehong Peng, Chenxu Zhang, and Yong Fu. "Fully Parallel Optimization of Coordinated Electricity and Natural Gas Systems on High-Performance Computing." IEEE Transactions on Smart Grid (2023). https://doi.org/10.1109/TSG.2023.3235247
Gopinath, Smitha and Hassan L. Hijazi. "Benchmarking Large-Scale ACOPF Solutions and Optimality Bounds," 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5. https://doi.org/10.1109/PESGM48719.2022.9916662.
Haghighat, Hossein, Wei Wang, and Bo Zeng. "Robust Microgrid Capacity Investment With Endogenous and Exogenous Uncertainties," in IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2023.3326834
Hong, Tao, David Wenzhong Gao, Tom Laing, Dale Kruchten, and Jorge Calzada. "Training energy data scientists: universities and industry need to work together to bridge the talent gap." IEEE Power and Energy Magazine 16, no. 3 (2018): 66-73, May-June 2018. https://doi.org/10.1109/MPE.2018.2798759
Hou, Ashley M., and Line A. Roald. "Data-driven tuning for chance constrained optimization: analysis and extensions." Top 30, no. 3 (2022): 649-682. https://doi.org/10.1007/s11750-022-00639-z
Holt, Timothy, Shrirang Abhyankar, Teja Kuruganti, Olaf Schenk, and Slaven Peles. "Data-Driven Unit Commitment Refinement - a Scalable Approach for Complex Modern Power Grids." Conference: Hawaii International Conference on System Sciences (HICSS) - Waikiki, Hawaii, United States of America - 1/3/2024 - 1/6/2024. https://www.osti.gov/biblio/2317784 (ExascaleSGD via Aravena Challenge 1 summary paper)
Huang, Hao, Zeyu Mao, Astrid Layton, and Katherine R. Davis. "An Ecological Robustness Oriented Optimal Power Flow for Power Systems’ Survivability," in IEEE Transactions on Power Systems, vol. 38, no. 1, pp. 447-462, Jan. 2023. https://doi.org/10.1109/TPWRS.2022.3168226
Huang, Zhenyu, Renke Huang, Yuri V. Makarov, Stephen J. Young, Rui Fan, Ahmad Tbaileh, Zhangshuan Hou, James O'Brien, Jason C. Fuller, Jacob Hansen, Laurentiu D. Marinovici. Sustainable Data Evolution Technology (SDET) for Power Grid Optimization. No. PNNL-28338. Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2018. https://doi.org/10.2172/1524091
Huang, Zhenyu and Yousu Chen. "High Performance Analytics for Grid Flexibility." Journal of Global Energy Interconnection. 2019(01) Page:1-7. https://doi.org/10.19705/j.cnki.issn2096-5125.2019.01.001
Jayawardene, Iroshani, Pramod Herath, and Ganesh Kumar Venayagamoorthy. "A Graph Theory-Based Clustering Method for Power System Networks," 2020 Clemson University Power Systems Conference (PSC), Clemson, SC, USA, 2020, pp. 1-8, https://doi.org/10.1109/PSC50246.2020.9131307
Jereminov, Marko, and Larry Pileggi. "Equivalent circuit programming for power flow analysis and optimization." arXiv preprint arXiv:2112.01351 (2021). https://doi.org/10.48550/arXiv.2112.01351
Jiang, Tao, Alessandra Parisio, Guodong Liu, Qianwen Xu, Qinglai Guo, Feifei Bai, Zakir Rather, Gengfeng Li, and Vladimir Terzija. "Guest Editorial: Special issue on flexible and resilient urban energy systems." International Journal of Electrical Power & Energy Systems 154 (2023): 109439. https://doi.org/10.1016/j.ijepes.2023.109439. https://doi.org/10.1016/j.ijepes.2023.109439
Karangelos, Efthymios, and Louis Wehenkel. "An Iterative AC-SCOPF Approach Managing the Contingency and Corrective Control Failure Uncertainties With a Probabilistic Guarantee," in IEEE Transactions on Power Systems, vol. 34, no. 5, pp. 3780-3790, Sept. 2019. https://doi.org/10.1109/TPWRS.2019.2902486
Kaviani, Ramin, and Kory W. Hedman. "A detection mechanism against load-redistribution attacks in smart grids." IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 704-714, Jan. 2021. https://doi.org/10.1109/TSG.2020.3017562
Kaviani, Ramin, and Kory W. Hedman. "An enhanced energy management system including a real-time load-redistribution threat analysis tool and cyber-physical SCED." IEEE Transactions on Power Systems 37, no. 5 (2021): 3346-3358. https://doi.org/10.1109/TPWRS.2021.3135357
Kilwein, Zachary, Jordan Jalving, Michael Eydenberg, Logan Blakely, Kyle Skolfield, Carl Laird, and Fani Boukouvala. "Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow." Energies 16, no. 16 (2023): 5913. https://doi.org/10.3390/en16165913
Kim, Kibaek, Youngdae Kim, Daniel A. Maldonado, Michel Schanen, Victor M. Zavala, and Nai-Yuan Chiang. A Scalable Mixed-Integer Decomposition Method for Security-Constrained Optimal Power Flow with Complementarity Constraints. No. ANL-21/66. Argonne National Lab.(ANL), Argonne, IL (United States), 2021. https://doi.org/10.2172/1835277
Kunkolienkar, Sanjana, Farnaz Safdarian, Jonathan Snodgrass, and Thomas J. Overbye. "Creating Active and Reactive Power Reserve Zones for Large-Scale Electric Grids." (2023). https://overbye.engr.tamu.edu/wp-content/uploads/sites/146/2023/05/IEEE_Conference_Reserve_Zones.pdf
Kunkolienkar, Sanjana, Farnaz Safdarian, Jonathan Snodgrass, Adam Birchfield, and Thomas Overbye. "A Description of the Texas A&M University Electric Grid Test Case Repository for Power System Studies." (2024). https://overbye.engr.tamu.edu/wp-content/uploads/sites/146/2024/01/Electric_Grids_Repository_for_Power_System_Analysis_TPEC.pdf
Laird, Carl, Jordan Jalving, Logan Blakely, Michael Eydenberg, Fani Boukouvala, and Zachary Kilwein. Integration of Optimization and Machine Learning for Improving Electrical Grid Operation. No. SAND2021-13853C. Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021. https://www.osti.gov/servlets/purl/1896366
Lan, Shuyue, Zhilu Wang, Ermin Wei, Amit K. Roy-Chowdhury, and Qi Zhu. "Collaborative Multi-Agent Video Fast-Forwarding." IEEE Transactions on Multimedia (2023). https://doi.org/10.1109/TMM.2023.3275853
Leveringhaus, Thomas, Leonard Kluss, Iwo Bekker, and Lutz Hofmann. "Solving Combined Optimal Transmission Switching and Optimal Power Flow sequentially as convexificated Quadratically Constrained Quadratic Program." Electric Power Systems Research 212 (2022): 108534. https://doi.org/10.1016/j.epsr.2022.108534
Li, Dongdong, Mengxian Sun, and Yong Fu. "A general steady-state voltage stability analysis for hybrid multi-infeed HVDC systems." IEEE Transactions on Power Delivery 36, no. 3 (2020): 1302-1312. https://doi.org/10.1109/TPWRD.2020.3006027
Li, Shiming, Jiangang Lu, Zhiwen Yu, Yue Dai, Shudi Liu, Wenjun Tang, and Ye Guo. "A review of security-constrained optimal power flow calculation method." In AIIPCC 2022; The Third International Conference on Artificial Intelligence, Information Processing and Cloud Computing, pp. 1-6. VDE, 2022. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10025882
Listopada, Sergey. "Laboratory Prototype of the Hybrid Intelligent Multi-Agent System of Heterogeneous Thinking." In CEUR Workshop Proceedings, pp. 186-193. 2020. https://ceur-ws.org/Vol-2782/paper_26.pdf
Ma, Minyue. "Power System Optimization Methods: Convex Relaxation and Benders Decomposition." PhD dissertation, University of South Florida, 2021. https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=10015&context=etd
Ma, M., & Fan, L. (2021). Security constrained DC OPF considering generator responses. Electric Power Systems Research, 192, 106920. https://doi.org/10.1016/j.epsr.2020.106920
Maeght, Jean. "Recent methods for Optimal Power Flow with discrete variables." (March 3, 2021). https://www.trr154.fau.de/wp-content/uploads/2021/03/Maeght_Jean.pdf
Mansoori, Fatemeh, and Ermin Wei. "FlexPD: A flexible framework of first-order primal-dual algorithms for distributed optimization." IEEE Transactions on Signal Processing 69 (2021): 3500-3512. https://doi.org/10.1109/TSP.2021.3083981
McNamara, Timothy, Amritanshu Pandey, Aayushya Agarwal, and Lawrence Pileggi. "Two-stage homotopy method to incorporate discrete control variables into AC-OPF." Electric Power Systems Research 212 (2022): 108283. https://doi.org/10.1016/j.epsr.2022.108283
Meliopoulos, A. P., Gad Monga Ilunga, and George Cokkinides. "Optimal Reactive Power Dispatch Formulated as Quadratic OPF and Solved via CS-SLP." (2023). https://hdl.handle.net/10125/102945
Molzahn, Daniel. "A Review of Recent Developments in Nonlinear Optimization of Electric Power Systems." PSERC Webinar 2020. https://documents.pserc.wisc.edu/documents/general_information/presentations/pserc_seminars/webinars_2020/Molzahn___PSERC_Webinar_2020__1_.pdf
Moreira, A. Valenzuela and M. Heleno, "Solving Market-Based Large-Scale Security-Constrained AC Optimal Power Flows," in IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5088-5101, Nov. 2023. https://doi.org/10.1109/TPWRS.2022.3228211
Nadeem, Muhammad, Ahmad F. Taha. "Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation." arXiv:2304.03699v2, 7 Apr 2023. https://doi.org/10.48550/arXiv.2304.03699
Nagarajan, Harsha, Mowen Lu, and Russell Bent. "Tight Piecewise Convex Relaxations for Global Optimization of Optimal Power Flow." Semantic Scholar.org (2019). https://pdfs.semanticscholar.org/0efe/1da00ffabe7f4fdbeb13b7b47f9d79bfd4b6.pdf
Ndrio, Mariola, Anna Winnicki, and Subhonmesh Bose. "Pricing Economic Dispatch with AC Power Flow via Local Multipliers and Conic Relaxation." IEEE Transactions on Control of Network Systems (2022). https://doi.org/10.1109/TCNS.2022.3203470
Neira, David E., Carl D. Laird, Stuart M. Harwood, Dimitar Trenev, and Davide Venturelli. "Impact of Emerging Computing Architectures and Opportunities for Process Systems Engineering Applications." In Foundations of Computer-Aided Process Operations (FOCAPO)/Chemical Process Control (CPC) 2023. 2023. https://ntrs.nasa.gov/api/citations/20220010956/downloads/emerging_hardware_pse.pdf
Niu, Xiaochun, and Ermin Wei. "FedHybrid: A hybrid federated optimization method for heterogeneous clients." IEEE Transactions on Signal Processing 71: 150-163, 2023, https://doi.org/10.1109/TSP.2023.3240083
Ozdemir, Alex, Fraser Brown, and Riad S. Wahby. "CirC: Compiler infrastructure for proof systems, software verification, and more." 2022 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2022, pp. 2248-2266. https://doi.org/10.1109/SP46214.2022.9833782
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