Selected Publication
[19] Ran Yuan(硕士生), Bo Wang*, Yeqi Sun, Xuanning Song and Junzo Watada. Conditional style-based generative adversarial networks for renewable scenario generation. IEEE Trans. on Power Systems, 2023, 38(2): 1281-1296.
[18] Jiarui Zhang(硕士生), Bo Wang*, and Junzo Watada. Stochastic distributionally robust unit commitment with deep scenario clustering. Electric Power Systems Research, 2023, 224. 109710.
[17] Yifei Wu(硕士生), Bo Wang*, Ran Yuan and Junzo Watada. A gramian angular field-based data-driven approach for multiregion and multisource renewable scenario generation. Information Sciences, 2023, 619: 578-602.
[16] Jinhao Shi(硕士生), Bo Wang*, Kaiyi Luo, Yifei Wu, Min Zhou and Junzo Watada. Ultra-short-term wind power interval prediction based on multi-task learning and generative critic networks. Energy, 2023, 272. 127116.
[15] Xuanning Song(硕士生), Bo Wang*, Pei-Chun Lin, Guangyu Ge, Ran Yuan and Junzo Watada. Scenario-based distributionally robust unit commitment optimization involving cooperative interaction with robots. Information Systems Frontiers, online, 2023.
[14] Jinhao Shi(硕士生), Bo Wang*, Ran Yuan, Zhi Wang, Chunlin Chen and Junzo Watada. Rolling horizon wind-thermal unit commitment optimization based on deep reinforcement learning. Applied Intelligence, online, 2023.
[13] Xianhe Wang(硕士生), Bo Wang*, Tiantian Li, Huaxiong Li and Junzo Watada. Multi-criteria fuzzy portfolio selection based on three-way decisions and cumulative prospect theory. Applied Soft Computing, 2023, 134. 110033.
[12] Yeqi Sun(硕士生), Bo Wang*, Ran Yuan and Junzo Watada. Rolling unit commitment based on dual-discriminator conditional generative adversarial networks. Electric Power Systems Research, 2022, 205. 107770.
[11] Min Zhou(硕士生), Bo Wang*, Shudong Guo and Junzo Watada. Multi-objective prediction intervals for wind power forecast based on deep neural networks. Information Sciences, 2021, 550: 207-220.
[10] Ran Yuan(硕士生), Bo Wang*, Zhixin Mao and Junzo Watada. Multi-objective wind power scenario forecasting based on PG-GAN. Energy, 2021, 226. 120379.
[9] Xianhe Wang(硕士生), Bo Wang*, Shu Liu, Huaxiong Li, Tianxing Wang and Junzo Watada. Fuzzy portfolio selection based on three-way decision and cumulative prospect theory. International Journal of Machine Learning and Cybernetics, 2021, 1-16.
[8] Min Zhou(硕士生), Bo Wang*, Tiantian Li and Junzo Watada. A data-driven approach for multi-objective unit commitment under hybrid uncertainties. Energy, 2018, 164: 722-733.
[7] Bo Wang*, You Li, Shuming Wang and Junzo Watada. A multi-objective portfolio selection model with fuzzy Value-at-Risk ratio. IEEE Trans. on Fuzzy Systems, 2018, 26(6): 3673-3687.
[6] Shuming Wang, Bo Wang* and Junzo Watada. Adaptive budget-portfolio investment optimization under risk tolerance ambiguity. IEEE Trans. on Fuzzy Systems, 2017, 25(2): 363-376.
[5] Bo Wang*, Shuming Wang, Xianzhong Zhou and Junzo Watada. Two-stage multi-objective unit commitment optimization under hybrid uncertainties. IEEE Trans. on Power Systems, 2016, 31(3): 2266-2277.
[4] Bo Wang*, You Li and Junzo Watada.Supply reliability and generation cost analysis due to load forecastuncertainty in unit commitment problems. IEEE Trans. on Power Systems, 2013, 28(3): 2242-2252.
[3] Bo Wang*, Shuming Wang and JunzoWatada. Fuzzy portfolio selection models with Value-at-Risk. IEEE Trans. on Fuzzy Systems, 2011, 19(4): 758-769.
[2] Bo Wang*, You Li and Junzo Watada. Multi-period portfolio selection with dynamic risk/expected-return levelunder fuzzy random uncertainty. Information Sciences, 2017, 385-386: 1-18.
[1] Bo Wang*, Shuming Wang, Xianzhong Zhou and Junzo Watada. Multi-objective unit commitment with wind penetration and emissionconcerns under stochastic and fuzzy uncertainties. Energy, 2016, 111(1): 18-31.
