Selected Publications
JOURNAL PAPERS
[J57] Q. Liu, Ye Guo*, and T. Xu, “Robust deep reinforcement learning for inverter-based volt-var control in partially observable distribution networks,” Applied Energy (JCR Q1, IF 10.1), vol. 399, p. 126445, Dec. 2025.
[J56] L. Li, C. Lin, Ye Guo et al., “A distributed dispatch of bi-directional power and hydrogen systems for enhancing the renewable energy integration in grid-connected microgrids,” IEEE Transactions on Sustainable Energy (JCR Q1, IF 8.6), vol. 16, no. 1, pp. 1-15, Apr. 2025.
[J55] C. Gao, Ye Guo*, Y. Xu et al., “A deep-learning approach for Modeling the Demand Function of Air Conditioning resources with respect to the electricity prices,” Applied Energy (JCR Q1, IF 10.1), vol. 392, p. 125977, Aug. 2025.
[J54] Z. Jiang, Ye Guo*, and J. Wang, “Dynamic Operating envelopes embedded peer-to-peer-to-grid energy trading,” Applied Energy (JCR Q1, IF 10.1), vol. 377, p. 124554, Jan. 2025.
[J53] Q. Liu, Ye Guo*, L. Deng et al., “Residual deep reinforcement learning for inverter-based volt-var Control,” IEEE Transactions on Sustainable Energy (JCR Q1, IF 8.6), vol. 16, no. 1, pp. 269-283, Jan. 2025.
[J52] Z. Meng and Ye Guo*, “Probabilistic wind power Forecasting with limited data based on efficient parameter updating rules,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 40, no. 2, pp. 1596-1608, Mar. 2025.
[J51] Z. Meng, Ye Guo*, and H. Sun, “An adaptive approach for probabilistic wind power Forecasting based on meta-learning,” IEEE Transactions on Sustainable Energy (JCR Q1, IF 8.6), vol. 15, no. 3, pp. 1814-1833, Jul. 2024.
[J50] Q. Liu, Ye Guo*, L. Deng et al., “Two-critic deep reinforcement learning for inverter-based volt-var Control in active distribution networks,” IEEE Transactions on Sustainable Energy (JCR Q1, IF 8.6), vol. 15, no. 3, pp. 1768-1781. Jul. 2024.
[J49] J. Shi, Ye Guo*, W. Wu et al., “Scenario-oriented multi-area joint market clearing of energy and reserve under uncertainty,” Applied Energy (JCR Q1, IF 10.1), vol. 361, no. 2, p. 122873, May 2024.
[J48] X. Yi, Ye Guo*, H. Sun et al., “Energy-grade double pricing for combined heat and power systems,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 39, no. 2, pp. 3769-3784, Mar. 2024.
[J47] C. Gao, Ye Guo*, W. Tang et al., “A data-knowledge-hybrid-driven method for Modeling reactive power-voltage response characteristics of renewable energy sources,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 39, no. 2, pp. 3361-3373, Mar. 2024.
[J46] H. Liu, Ye Guo*, and H. Liu, “On degeneracy issues in multi-parametric programming and critical region exploration based distributed optimization in smart grid operations,” CSEE Journal of Power and Energy Systems (JCR Q1, IF 6.9), 2024, Accepted.
[J45] H. Liu, S. Bose, H. D. Nguyen, Ye Guo, T. T. Doan, and C. L. Beck, “Distributed dual subgradient methods with averaging and applications to grid optimization,” Journal of Optimization Theory and Applications (JCR Q2, IF 1.88), Mar. 2024.
[J44] H. Lin, X. Shen, Ye Guo et al., “A linear Distflow model considering line shunts for fast calculation and voltage Control of power distribution systems,” Applied Energy (JCR Q1, IF 10.1), vol. 357, p. 122467, Mar. 2024.
[J43] J. Shi, Ye Guo*, X. Shen et al., “Multi-interval rolling-window joint Dispatch and pricing of energy and reserve under uncertainty,” Applied Energy (JCR Q1, IF 10.1), vol. 356, p. 122435, Feb. 2024.
[J42] J. Zhou, Ye Guo*, L. Yang et al., “A review on frequency management for low-inertia power systems: From inertia and fast frequency response perspectives,” Electr. Power Syst. Res. (JCR Q2, IF 3.3), vol. 228, p. 110095, Jan. 2024.
[J41] H. Liu, Ye Guo*, and H. Sun, “Inter-regional financial transmission rights in multi-area power systems,” CSEE Journal of Power and Energy Systems (JCR Q1, IF 6.9), pp. 1-10, May 2024.
[J40] S. Xie, Q. Wu, M. Zhang and Ye Guo, “Coordinated energy pricing for multi-energy networks considering hybrid hydrogen-electric vehicle mobility,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), pp. 1-13, 2024.
[J39] S. Liu, Ye Guo*, W. Tang et al., “Varying condition SCOPF based on deep learning and knowledge graph,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 38, no. 4, p. 3189-3200, Jul. 2023.
[J38] Z. Xu, Ye Guo*, J. Yu et al., “Coordinating virtual power plants with the transmission system via electricity market considering heterogeneous risk preferences,” CSEE Journal of Power and Energy Systems (JCR Q1, IF 6.9), 2023, Accepted.
[J37] Z. Meng, Ye Guo*, W. Tang et al., “Nonparametric multivariate probability density Forecast in smart grids with deep learning,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 38, no. 5, pp. 4900-4915, Sep. 2023.
[J36] H. Liu, Ye Guo*, H. Liu et al., “Joint covering congestion rents in multi-area power systems considering loop flow effects,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 38, no. 4, pp. 3854-3868, Jul. 2023.
[J35] H. Lin, F. U. Nazir, B. C. Pal, and Ye Guo, “A linearized branch flow model considering line shunts for radial distribution systems and its application in volt/var control,” Journal of Modern Power Systems and Clean Energy (JCR Q1, IF 5.7), vol. 11, no. 4, pp. 1191-1200, Jul. 2023.
[J34] X. Qin, B. Xu, I. Lestas, Ye Guo, and H. Sun, “The role of electricity market design for Energy Storage in cost-efficient decarbonization,” Joule (JCR Q1, IF 38.6), vol. 7, no. 6, pp. 1227-1240, Jun. 2023.
[J33] M. Ndrio, S. Bose, L. Tong, and Ye Guo, “Coordinated transaction scheduling in multi-area electricity markets: Equilibrium and learning,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 38, no. 2, pp. 996-1008, Mar. 2023.
[J32] X. Shi, Y. Xu, G. Chen, and Ye Guo, “An augmented lagrangian-based safe reinforcement learning algorithm for carbon-oriented optimal scheduling of EV aggregators,” IEEE Transactions on Smart Grid (JCR Q1, IF 8.6), vol. 15, no. 1, pp. 795-809, Jun. 2023.
[J31] J. Shi, Ye Guo*, L. Tong et al., “A scenario-oriented approach to energy-reserve joint procurement and pricing,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 38, no. 1, pp. 411-426, Apr. 2022.
[J30] Ye Guo*, Y. Xu, H. Sun et al., “Multi-time interval forecasting-aided state estimation incorporating phasor measurements for power systems with renewable energy sources,” CSEE Journal of Power and Energy Systems (JCR Q1, IF 6.9), 2022.
[J29] Z. Xu, Ye Guo*, H. Sun et al., “Deep reinforcement learning for competitive der pricing problem of virtual power plants,” CSEE Journal of Power and Energy Systems (JCR Q1, IF 6.9), 2022.
[J28] Z. Xu, Ye Guo*, and H. Sun, “Competitive pricing game of virtual power plants: Models, strategies, and equilibria,” IEEE Transactions on Smart Grid (JCR Q1, IF 8.6), vol. 13, no. 6, pp. 4583-4595, Jun. 2022.
[J27] X. Qin, Ye Guo*, X. Shen et al., “Increasing flexibility of combined heat and power systems through optimal dispatch with variable mass flow,” IEEE Transactions on Sustainable Energy (JCR Q1, IF 8.6), vol. 13, no. 2, pp. 986-997, January 2022.
[J26] Ye Guo*, C. Chen, and L. Tong, “Pricing multi-interval dispatch under uncertainty part I: Dispatch-following incentives,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 36, no. 5, pp. 3865-3877, Sep. 2021.
[J25] C. Chen, Ye Guo*, and L. Tong, “Pricing multi-interval dispatch under uncertainty part II: Generalization and performance,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 36, no. 5, pp. 3878-3886, Sep. 2021.
[J24] T. Yang, Ye Guo*, L. Deng et al., “A linear branch flow model for radial distribution networks and its application to reactive power optimization and network reconfiguration,” IEEE Transactions on Smart Grid (JCR Q1, IF 8.6), vol. 12, no. 3, pp. 2027-2036, November 2020.
[J23] X. Qin, X. Shen, Ye Guo et al., “Combined electric and heat system testbeds for power flow analysis and economic dispatch,” CSEE Journal of Power and Energy Systems (JCR Q1, IF 6.9), vol. 7, no. 1, pp. 34-44, Nov. 2020.
[J22] X. Qin, H. Sun, and Ye Guo, “Asynchronous economic dispatch for combined heat and power systems.” IEEE Open Access Journal of Power Energy (JCR Q2, IF 3.3), vol. 7, pp. 467-477, Nov. 2020.
[J21] J. Yu, Ye Guo*, and H. Sun, “Testbeds for integrated transmission and distribution networks: Generation methodology and benchmarks,” CSEE Journal of Power and Energy Systems (JCR Q1, IF 6.9), vol. 6, no. 3, pp. 518-527, July 2020.
[J20] C. Lin, W. Wu, M. Shahidehpour, Ye Guo, and B. Wang, “A non-iterative decoupled solution of the coordinated robust OPF in transmission and distribution networks with variable generating units,” IEEE Transactions on Sustainable Energy (JCR Q1, IF 8.6), vol. 11, no. 3, pp. 1579-1588, July 2020.
[J19] J. Chen, Ye Guo*, and W. Wu, “Optimal dispatch scheme for DSO and prosumers by implementing three-phase distribution locational marginal prices,” IET Generation, Transmission & Distribution (JCR Q3, IF 2.0), vol. 14, no. 11, pp. 2138-2146, June 2020.
[J18] Y. Zhao, Ye Guo*, Q. Guo et al., “Deployment of the electric vehicle charging station considering existing competitors,” IEEE Transactions on Smart Grid (JCR Q1, IF 8.6), vol. 11, no. 5, pp. 4236-4248, April 2020.
[J17] J. Yu, Z. Li, Ye Guo et al., “Decentralized chance-constrained economic dispatch for integrated transmission power systems and district energy systems,” IEEE Transactions on Smart Grid (JCR Q1, IF 8.6), vol. 10, no. 6, pp. 6724-6734, November 2019.
[J16] X. Qin, H. Sun, X. Shen, Ye Guo, Q. Guo, and T. Xia, “A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources,” Applied Energy (JCR Q1, IF 10.1), vol. 251, p. 113270, October 2019.
[J15] C. Lin, W. Wu, and Ye Guo, “Decentralized robust state estimation of active distribution grids incorporating microgrids based on PMU measurements,” IEEE Transactions on Smart Grid (JCR Q1, IF 8.6), vol. 11, no. 1, pp. 810-820, August 2019.
[J14] C. Chen, H. Sun, X. Shen, Ye Guo, Q. Guo, and T. Xia, “Two-stage robust planning-operation co-optimization of energy hub considering precise energy storage economic model,” Applied Energy (JCR Q1, IF 10.1), vol. 252, p. 113372, May 2019.
[J13] L. Deng, Z. Li, H. Sun, Q. Guo, Y. Xu, R. Chen, J. Wang, and Ye Guo, “Generalized locational marginal pricing in a heat-and-electricity-integrated market,” IEEE Transactions on Smart Grid (JCR Q1, IF 8.6), vol. 10, no. 6, pp. 6414-6425, March 2019.
[J12] Ye Guo*, Y. Ji, and L. Tong, “Generalized coordinated transaction scheduling: A market approach to seamless interfaces,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 33, no. 5, pp. 4683-4693, Sep. 2018.
[J11] Ye Guo*, S. Bose, and L. Tong, “On robust tie-line scheduling in multi-area power systems,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 33, no. 4, pp. 4144-4154, July 2018.
[J10] Ye Guo*, L. Tong, W. Wu et al., “Coordinated multi-area economic dispatch via critical region projection,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 32, no. 5, pp. 3736-3746, Sep. 2017.
[J9] Ye Guo*, L. Tong, W. Wu et al., “Hierarchical multi-area state estimation via sensitivity function exchanges,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 32, no. 1, pp. 442-453, January 2017.
[J8] W. Zheng, W. Wu, A. Gomez-Exposito, B. Zhang, and Ye Guo, “Distributed robust bilinear state estimation for power systems with nonlinear measurements,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 32, no. 1, pp. 499-509, January 2017.
[J7] H. Sun, Q, Guo, B. Zhang, Ye Guo, Z. Li, and J. Wang, “Master-slave-splitting based distributed global power flow method for integrated transmission and distribution analysis,” IEEE Transactions on Smart Grid (JCR Q1, IF 8.6), vol. 6, no. 3, pp. 1484-1492, May 2015.
[J6] Ye Guo, W. Wu, B. Zhang et al., “A distributed state estimation method for power systems incorporating linear and nonlinear models,” International Journal of Electrical Power & Energy Systems (JCR Q1, IF 5.0), vol. 64, pp. 608-616, January 2015.
[J5] Ye Guo, W. Wu, B. Zhang et al., “A method for evaluating the accuracy of power system state estimation results based on correntropy,” International Journal of Electrical Power & Energy Systems (JCR Q1, IF 5.0), vol. 60, pp. 45-52, September 2014.
[J4] Ye Guo, W. Wu, B. Zhang et al., “A fast solution for the lagrange multiplier-based electric power network parameter error identification model,” Energies (JCR Q3, IF 3.0), vol. 7, no. 3, pp. 1288-1299, March 2014.
[J3] Ye Guo, B. Zhang, W. Wu et al., “Solvability and solutions for bus-type extended load flow,” International Journal of Electrical Power & Energy Systems (JCR Q1, IF 5.0), vol. 51, pp. 89-97, October 2013.
[J2] Ye Guo, W. Wu, B. Zhang et al., “An efficient state estimation algorithm considering zero injection constraints,” IEEE Transactions on Power Systems (JCR Q1, IF 6.5), vol. 28, no. 3, pp. 2651-2659, January 2013.
[J1] W. Wu, Ye Guo*, B. Zhang et al., “Robust state estimation method based on maximum exponential square,” IET Generation, Transmission & Distribution (JCR Q3, IF 2.0), vol. 5, no. 11, pp. 1165-1172, November 2011.
JOURNAL PAPERS in CHINESE
[JC24] H. Liu, Ye Guo*, J. Shi et al., “Application analysis and prospect of distributed optimization in interconnected power grid,” Automation of Electric Power Systems, pp. 1-17, Jun. 2024, Acceped.
[JC23] H. Liu, Ye Guo*, and H. Sun, “Optimal design and pricing method for inter-provincial electricity spot trading,” Automation of Electric Power Systems, vol. 48, no. 04, pp. 76-85, Feb. 2024.
[JC22] W. Deng, Z. Meng, H. Wang, Ye Guo, X. Liu, W. Tian, P. Xie, and Z. Dai, “Renewable energy power prediction characteristics analyses and accuracy improvement measures,” Southern Power System Technology, vol. 17, no. 2, pp. 11-23, February 2023.
[JC21] R. Cheng, B. Zhou, J. Shi, J. Li, W. Zhao, T. Mao, T. Wang, Y. Xu, and Ye Guo, “Review of key technologies for mega-city virtual power plants upon regional unified power market,” Southern Power System Technology, vol. 17, no. 4, pp. 90-100+131, April 2023.
[JC20] H. Liu, Ye Guo*, and H. Sun, “Review and prospect of inter-regional and inter-provincial power trading in china,” Automation of Electric Power Systems, vol. 46, no. 15, pp. 187-199, August 2022.
[JC19] J. Shi, Ye Guo*, H. Sun et al., “Review of research and practice on reserve market,” Proceedings of the CSEE, vol. 41, no. 1, pp. 123-134+403, January 2021.
[JC18] Y. Su, J. Shi, J. Zhang, L. Gong, Ye Guo, and X. Shen, “Review on planning and bidding strategy of energy storage considering frequency regulation,” Electric Power Automation Equipment, vol. 41, no. 9, pp. 191-198, September 2021.
[JC17] M. Lin, Z. Hou, C. Wang, M. Liu, T. Xu, and Ye Guo, “Optimal dispatch for transmission distribution coordination system based on distributed interior point method,” Renewable Energy Resources, vol. 38, no. 9, pp. 1226-1232, September 2020.
[JC16] Ye Guo, B. Zhang, W. We et al., “Reliability assessment of state estimation in practical power systems,” Automation of Electric Power Systems, vol. 41, no. 1, pp. 155-160, January 2017.
[JC15] W. Wu, B. Zhang, Y. Ju, Ye Guo, K. Chen, H. Sun, W. Tao, and F. Li, “Distribution network advanced application software and its key techniques,” Automation of Electric Power Systems, vol. 39, no. 1, pp. 213-219+247, January 2015.
[JC14] X. Zhao, Ye Guo*, H. Zhou et al., “The accuracy evaluation index of power system basic load flow data and its application,” Southern Power System Technology, vol. 8, no. 3, pp. 14-20, 2014.
[JC13] H. Gu, Ye Guo*, H. Zhou et al., “Time-variability evaluation and real-time value estimation of resistances of hvde transmission lines in china southern power grid,” Power System Technology, vol. 37, no. 12, pp. 3342-3346, December 2013.
[JC12] Ye Guo, W. Wu, B. Zhang et al., “Power system network parameter error identification by lagrange multiplier based method,” Proceedings of the CSEE, vol. 33, no. 7, pp. 86-91+15, March 2013.
[JC11] Ye Guo, W. Wu, B. Zhang et al., “Application of the power system network parameter error identification by lagrange multiplier based method,” Proceedings of the CSEE, vol. 33, no. 10, pp. 43-49+20, April 2013.
[JC10] H. Gu, Ye Guo, Y. Liu et al., “An on-line identification and estimation system for intelligent dispatching power grid parameters and its application in guangzhou power grid,” Power System Technology, vol. 37, no. 1, pp. 162-166, January 2013.
[JC9] Ye Guo, W. Wu, B. Zhang et al., “Power system state estimation solution with zero injection constraints using modified newton method and fast decoupled method in polar coordinate,” Proceedings of the CSEE, vol. 32, no. 22, pp. 113-117+11, August 2012.
[JC8] Ye Guo, B. Zhang, W. Wu et al., “Power system state estimation solution with zero injection constraints using modified newton method,” Proceedings of the CSEE, vol. 32, no. 19, pp. 96-100+191, July 2012.
[JC7] Z. Yao, Ye Guo*, Y. Guo et al., “Application of a robust state estimator based on maximum exponential square in jiangxi power system,” Power System Technology, vol. 36, no. 4, pp. 155-159, April 2012.
[JC6] Ye Guo, W. Wu, B. Zhang et al., “Application research on bus-type extended load flow,” Proceedings of the CSEE, vol. 31, no. 16, pp. 81-87, June 2011.
[JC5] Ye Guo, B. Zhang, and W. Wu, “Study on bus-type extended load flow and its solvability,” Proceedings of the CSEE, vol. 31, no. 13, pp. 79-85, May 2011.
[JC4] Ye Guo, B. Zhang, and W. Wu, “Solution and performance analysis to a robust state estimation method with exponential objective function,” Proceedings of the CSEE, vol. 31, no. 7, pp. 89-95, March 2011.
[JC3] W. Wu, Ye Guo, and B. Zhang, “A robust state estimation method with exponential objective function,” Proceedings of the CSEE, vol. 31, no. 4, pp. 67-71, February 2011.
[JC2] Ye Guo, W. Wu, B. Zhang et al., “Power flow forecasting method and its application in early warning and security counter measure system,” Proceedings of the CSEE, vol. 34, no. 5, pp. 107-111, March 2010.
[JC1] H. Sun, Ye Guo, and B. Zhang, “Distributed global power flow calculation for whole transmission and looped distribution networks,” Automation of Electric Power Systems, vol. 32, no. 13, pp. 11-15, July 2008.
CONFERENCE PAPERS
[C51] Z. Jiang, Ye Guo* and H. Sun, “Bargaining-based allocation of dynamic operating envelopes in distribution networks,” in 2024 IEEE Power & Energy Society General Meeting, Seattle, Washington, USA, July 2024.
[C50] C. Gao and Ye Guo*, “A data-driven method of modeling price-response characteristics of energy storage systems,” in 2024 IEEE Power & Energy Society General Meeting, Seattle, Washington, USA, July 2024.
[C49] S. Wang, Ye Guo*, T. Mao et al., “Two-stage profit allocation method for virtual power plant based on propensity to disrupt,” in 2024 IEEE Power & Energy Society General Meeting, Seattle, Washington, USA, July 2024.
[C48] H. Liu and Ye Guo*, “Coordination of distributed energy resources in a distribution network via non-linear dual critical region exploration,” in 2024 IEEE Power & Energy Society General Meeting, Seattle, Washington, USA, July 2024.
[C47] H. Liu, J. Wang, X. Zhang, Ye Guo, Y. Li, “Enhancing continuous domain adaptation with multi-path transfer curriculum,” in Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, Apr. 2024.
[C46] Y. Liu, Q. Liu, and Minghui Chen, Longbo Luo, Ye Guo, and Kang Wang, “Self-residual deep reinforcement learning for volt-var control in active distribution networks,” in 2024 6th International Conference on Energy Systems and Electrical Power (ICESEP), Wuhan, China, Jun. 2024.
[C45] J. Zhou, Ye Guo*, Z. Meng et al., “Low-order frequency response modeling for offshore wind farm-mtdc systems,” in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, Hangzhou, China, December 2023, pp. 1-6.
[C44] J. Li, Ye Guo*, H. Sun et al., “Bidding strategic of virtual power plant based on end-to-end deep reinforcement learning,” in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, Hangzhou, China, December 2023, pp. 1-6.
[C43] H. Lin, Ye Guo*, J. Zhou et al., “A review on virtual power plants: Development progress and market participation mechanisms,” in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, Hangzhou, China, December 2023, pp. 1-6.
[C42] W. Tang, S. He, Y. Zhao, M. Xu, and Ye Guo, “Optimal bidding strategies of electric vehicles aggregators participate in energy, frequency regulation and demand response market,” in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, Hangzhou, China, December 2023, pp. 1-6.
[C41] W. Deng, Z. Dai, H. Wang, S. Lu, C. Li, M. Cheng, X. Liu, J. Hu, C. Lu, Z. Meng, and Ye Guo, “Renewable energy forecast considering plateau mountain and ocean climate characteristics,” in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, Hangzhou, China, December 2023, pp. 1-6.
[C40] Y. Xu, Ye Guo*, W. Tang et al., “Smart meters integration in distribution system state estimation with collaborative filtering and deep gaussian process,” in 2023 IFAC World Congress, Yokohama, Japan, July 2023.
[C39] Y. Jiang, H. Liu, Ye Guo* et al., “A transmission cost allocation approach considering operating states of microgrids,” in IEEE Sustainable Power and Energy Conference (iSPEC), Chongqing, China, Nov. 2023.
[C38] H. Liu, Ye Guo*, H. Sun et al., “Distributed multi-area optimal power flow via rotated coordinate descent critical region exploration,” in 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, December 2022, pp. 7186-7193.
[C37] X. Yi, Ye Guo*, and H. Sun, “Energy-grade double pricing rule in the heating market,” in 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, December 2022, pp. 4400-4405.
[C36] X. Yi, Ye Guo*, H. Sun et al., “Energy-grade double pricing mechanism for a combined heat and power system using the asynchronous dispatch method,” in 2022 IEEE 6th Conference on Energy Internet and Energy System Integration, Sichuan, China, November 2022, pp. 2170-2175.
[C35] J. Huang, Ye Guo*, H. Sun et al., “A simplification method for robust optimization of power system based on LMP,” in 2022 IEEE 6th Conference on Energy Internet and Energy System Integration, Sichuan, China, November 2022, pp. 1208-1213.
[C34] R. Zai, Ye Guo*, Q. Liu et al., “Knowledge assisted deep reinforcement learning for electric vehicle charging control,” in 2022 IEEE 6th Conference on Energy Internet and Energy System Integration, Sichuan, China, November 2022, pp. 1882-1887.
[C33] W. Wu, Ye Guo*, J. Shi et al., “Pricing resources in renewable portfolio standard-constrained spot markets,” in 2022 IEEE 6th Conference on Energy Internet and Energy System Integration, Sichuan, China, November 2022, pp. 2205-2210, (Best paper award).
[C32] Z. Huang, Ye Guo*, H. Sun et al., “A multiple market trading mechanism for electricity, renewable energy certificate and carbon emission right of virtual power plants,” in 2022 IEEE 6th Conference on Energy Internet and Energy System Integration, Sichuan, China, November 2022, pp. 1952-1957.
[C31] C. Gao, Ye Guo*, W. Tang et al., “Modeling voltage-response characteristics of renewable energy sources based on the fusion of deep learning and knowledge graph.” in 2022 IEEE Power & Energy Society General Meeting, Denver, Colorado, USA, July 2022.
[C30] Z. Meng, Ye Guo*, W. Tang et al., “Nonparametric probabilistic total transfer capability estimation with deep learning,” in 2022 IEEE Power & Energy Society General Meeting, Denver, Colorado, USA, July 2022.
[C29] L. Gong, Ye Guo*, H. Sun et al., “Model predictive control-based real-time optimal charging of electric vehicle aggregators,” in 2022 IEEE Power & Energy Society General Meeting, Denver, Colorado, USA, July 2022.
[C28] J. Lu, Z. Yu, S. Li, Y. Dai, R. Zhao, K. Zeng, W. Zheng, C. Gao, and Ye Guo, “A construction method of a knowledge graph of power system based on various data-driven missions,” in 2022 Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC), Kunming, China, June 2022.
[C27] S. Li, J. Lu, Z. Yu, Y. Dai, S. Liu, W. Tang, and Ye Guo, “A review of security-constrained optimal power flow calculation method,” in 2022 Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC), Kunming, China, June 2022.
[C26] S. Bose, M. Ndrio, A. N. Madavan, L. Tong, and Ye Guo, “Risk-sensitive optimization and pricing for the modern power grid,” in 2021 55th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA, October 2021.
[C25] J. Zhang, J. Shi, Y. Su, M. Lu, X. Shen, L. Gong, and Ye Guo, “A co-optimization mechanism of energy and multiple ancillary services with high-penetration renewables,” in 2021 IEEE 5th Conference on Energy Internet and Energy System Integration, Taiyuan, Shanxi, China, October 2021, pp. 542-547, (Best Paper Award).
[C24] Z. Xu, Ye Guo*, and H. Sun, “On the convergence to nash equilibrium in retail electricity markets,” in 2021 IEEE 5th Conference on Energy Internet and Energy System Integration, Taiyuan, Shanxi, China, October 2021, pp. 3545-3551.
[C23] Q. Liu, Ye Guo*, L. Deng et al., “Robust offline deep reinforcement learning for volt-var control in active distribution networks,” in 2021 IEEE 5th Conference on Energy Internet and Energy System Integration, Taiyuan, Shanxi, China, October 2021, pp. 442-448.
[C22] W. Tang, Ye Guo*, and H. Sun, “Sharing distributed energy storages with virtual power plants,” in 2021 IEEE Power & Energy Society General Meeting, Washington, DC, USA, July 2021.
[C21] Z. Luo, Ye Guo*, and H. Sun, “Rolling-window multi-stage stochastic programming for a virtual power plant in the real-time market,” in 2021 IEEE Power & Energy Society General Meeting, Washington, DC, USA, July 2021.
[C20] J. Shi, Ye Guo*, L. Tong et al., “A scenario-oriented approach for energy-reserve joint procurement and pricing,” in 2021 IEEE Power & Energy Society General Meeting, Washington, DC, USA, July 2021, (Best Paper Award).
[C19] H. Liu, Ye Guo*, and H. Sun, “Pricing and settlement approaches of regional electricity markets in multi-area power systems considering loop flow effects,” in 2021 IEEE Power & Energy Society General Meeting, Washington, DC, USA, July 2021.
[C18] S. Liu, Ye Guo*, W. Tang et al., “Predicting active constraints set in security-constrained optimal power flow via deep neural network,” in 2021 IEEE Power & Energy Society General Meeting, Washington, DC, USA, July 2021.
[C17] C. Chen, L. Tong, and Ye Guo, “Pricing energy storage in real-time market,” in 2021 IEEE Power & Energy Society General Meeting, Washington, DC, USA, July 2021.
[C16] L. Wei, L. Gong, J. Zhang, Ye Guo, X. Shen, and J. Shi, “Joint bidding strategy of large-scale battery storage company in energy, reserve and regulation markets,” in 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). Chengdu, China: IEEE, 2021, pp. 355-359, (Best Industrial Paper Award).
[C15] G. Chen, Ye Guo*, Q. Guo et al., “Bidding strategy for FTR auction market based on deep reinforcement learning,” in 2020 IEEE 4th Conference on Energy Internet and Energy System Integration, Wuhan, Hubei, China, November 2020, (Best Paper Award).
[C14] Z. Xu, Ye Guo*, H. Sun et al., “Applying multi-period newsvendor model to load serving entity’s procurement problem with DR/batteries,” in 2020 IEEE 4th Conference on Energy Internet and Energy System Integration, Wuhan, Hubei, China, October 2020.
[C13] Y. Wang, Ye Guo*, H. Sun et al., “Distribution system anomaly detection based on anogan embedded with cross-stitch units,” in 2020 IEEE 4th Conference on Energy Internet and Energy System Integration, Wuhan, Hubei, China, October 2020.
[C12] T. Yang, Ye Guo*, L. Deng et al., “A distribution system loss allocation approach based on a modified distflow model,” in 2020 IEEE Power & Energy Society General Meeting, Montreal, QC, Canada, August 2020, (Best Paper Award).
[C11] J. Yu, Ye Guo*, and H. Sun, “Accommodating distributed generations and renewable energy resources via a general market mechanism,” in 2019 IEEE Power & Energy Society General Meeting, Atlanta, GA, USA, August 2019.
[C10] A. Madavan, S. Bose, Ye Guo et al., “Risk-sensitive security-constrained economic dispatch via critical region exploration,” in 2019 IEEE Power & Energy Society General Meeting, Atlanta, GA, USA, August 2019, (Best Paper Award).
[C9] M. Ndrio, S. Bose, Ye Guo et al., “Coordinated transaction scheduling in multi-area power systems with strategic participants,” in 2019 IEEE Power & Energy Society General Meeting, Atlanta, GA, USA, August 2019, (Best of the Best Paper Award).
[C8] Ye Guo* and L. Tong, “Pricing multi-period dispatch under uncertainty,” in 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Montreal, IL, USA, October 2018.
[C7] Ye Guo, Y. Ji, and L. Tong, “Incorporating interface bids in the economic dispatch for multi-area power systems,” in 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, July 2017.
[C6] Ye Guo and L. Tong, “Robust tie-line scheduling for multi-area power systems with finite-step convergence,” in 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, July 2017.
[C5] Ye Guo, L. Tong, W. Wu et al., “Multi-area economic dispatch via state space decomposition,” in 2016 American Control Conference (ACC), Boston, USA, July 2016.
[C4] Ye Guo, B. Zhang, W. Wu et al., “Multi-time interval power system state estimation incorporating phasor measurements,” in 2015 IEEE Power & Energy Society General Meeting, Denver, USA, July 2015.
[C3] Ye Guo, L. Tong, W. Wu et al., “Coordinated multi-area economic dispatch via multi-parametric programming,” in 2015 IEEE Power & Energy Society General Meeting, Denver, USA, July 2015.
[C2] Ye Guo, W. Wu, Z. Wang et al., “A distributed power system state estimator incorporating linear and nonlinear areas,” in 2014 IEEE Power & Energy Society General Meeting, Washington DC, USA, July 2014.
[C1] Ye Guo, B. Zhang, W. Wu et al., “Accuracy evaluation indexes for power system state estimation results,” in 2013 IEEE Power & Energy Society General Meeting, Vancouver, Canada, July 2013.
INVITED BOOK CHAPTER
[B1] Ye Guo, L. Tong, B. Zhang et al., Hierarchical Multi-area State Estimation. John Wiley & Sons, Ltd. December 2020, edited by Mohamed E. El-Hawary, ch. 12, pp. 375-412.