1. A Two-Stage Hidden Markov Model for Medium- to Long-Term Multiple Wind Farm Power Scenario Generation. (2025). Yang, Chengwei ; Liu, Jun ; You, Zuowei ; Lin, Lingxue.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:8:p:1917-:d:1631385.

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2. Multi-Time Scale Scenario Generation for Source–Load Modeling Through Temporal Generative Adversarial Networks. (2025). Li, Xiaohan ; Si, Chenyi ; Song, YI ; Jiang, Shigong ; Ma, Liang.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:6:p:1462-:d:1613802.

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3. Stochastic Scenario Generation Methods for Uncertainty in Wind and Photovoltaic Power Outputs: A Comprehensive Review. (2025). Fu, Xueqian ; Yang, Dechang ; Chang, Fuhao ; Zhang, Chunyu ; Song, YI ; Sun, Zhiyuan ; Zheng, Kun.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:3:p:503-:d:1573878.

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4. A Mid-Term Scheduling Method for Cascade Hydropower Stations to Safeguard Against Continuous Extreme New Energy Fluctuations. (2025). Su, Huaying ; Wang, Yujian ; Zhang, Yan ; Li, Yupeng ; Cheng, Chuntian.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:14:p:3745-:d:1702005.

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5. Integrated reliability evaluation of transportation self-consistent energy system architecture configuration schemes based on reliability engineering and data uncertainty. (2025). Han, Zhenqiang ; Xu, Xianfeng ; Hu, Liqun ; Huang, Hongxin.
   In: Renewable Energy.
   RePEc:eee:renene:v:245:y:2025:i:c:s0960148125004434.

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6. Complementary operation optimization of cascade hydropower reservoirs and photovoltaic energy using cooperation search algorithm and conditional generative adversarial networks. (2025). Feng, Zhong-Kai ; Wang, Xin ; Niu, Wen-Jing.
   In: Energy.
   RePEc:eee:energy:v:328:y:2025:i:c:s036054422502167x.

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7. Simulation and experimental study on the performance of solar phase change slurry direct evaporation photovoltaic/thermal heat pump. (2025). Zhang, Changxing ; Dai, Zhengshu ; Cui, Liping ; Li, Sheng ; Gao, Jinshuang ; Zhao, Yazhou.
   In: Energy.
   RePEc:eee:energy:v:324:y:2025:i:c:s0360544225016275.

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8. Weather-informed probabilistic forecasting and scenario generation in power systems. (2025). van Hentenryck, Pascal ; Tanneau, Mathieu ; Zandehshahvar, Reza ; Zhang, Hanyu.
   In: Applied Energy.
   RePEc:eee:appene:v:384:y:2025:i:c:s0306261925000996.

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9. Deep generative models in energy system applications: Review, challenges, and future directions. (2025). King, Ryan N ; Emami, Patrick ; Zhang, Xiangyu ; Cortiella, Alexandre ; Glaws, Andrew.
   In: Applied Energy.
   RePEc:eee:appene:v:380:y:2025:i:c:s0306261924024437.

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10. Graph neural networks for power grid operational risk assessment under evolving unit commitment. (2025). Zhang, Yadong ; Mahadevan, Sankaran ; Karve, Pranav M.
    In: Applied Energy.
    RePEc:eee:appene:v:380:y:2025:i:c:s0306261924021767.

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11. An Adaptive Distributionally Robust Optimization Approach for Optimal Sizing of Hybrid Renewable Energy Systems. (2024). Keyvandarian, Ali ; Saif, Ahmed.
    In: Journal of Optimization Theory and Applications.
    RePEc:spr:joptap:v:203:y:2024:i:2:d:10.1007_s10957-024-02518-y.

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12. Forecasting VaR and ES by using deep quantile regression, GANs-based scenario generation, and heterogeneous market hypothesis. (2024). Jiang, HE ; Lv, Mengzheng ; Wang, Shuai.
    In: Financial Innovation.
    RePEc:spr:fininn:v:10:y:2024:i:1:d:10.1186_s40854-023-00564-5.

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13. Short-Term Output Scenario Generation of Renewable Energy Using Transformer–Wasserstein Generative Adversarial Nets-Gradient Penalty. (2024). Yu, YI ; Hua, Xiaojun ; Deng, Youhan ; Ke, Deping ; Xu, Jian ; Gu, Liuqing.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:24:p:10936-:d:1543102.

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14. Scenario Generation Based on Ant Colony Optimization for Modelling Stochastic Variables in Power Systems. (2024). Guerrero, Juan Ignacio ; Valderrama, Daniel Fernndez ; de Mora, Carlos Len ; Robba, Michela.
    In: Energies.
    RePEc:gam:jeners:v:17:y:2024:i:21:p:5293-:d:1505966.

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15. Optimal day-ahead large-scale battery dispatch model for multi-regulation participation considering full timescale uncertainties. (2024). Ba, YU ; Li, Weidong ; Yu, Samson Shenglong ; Zhang, Mingze ; Wang, Haixia.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:189:y:2024:i:pb:s1364032123008213.

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16. Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in petrochemical industry. (2024). Hwangbo, Soonho ; Ifaei, Pouya ; Byun, Jaewon ; Ko, Jaerak ; Yoo, Changkyoo ; Ha, Byeongmin ; Heo, Sungku.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:189:y:2024:i:pa:s1364032123007918.

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17. Net-zero carbon emission oriented Bi-level optimal capacity planning of integrated energy system considering carbon capture and hydrogen facilities. (2024). Yang, Qiang ; Dong, Wei ; Chen, Xianqing.
    In: Renewable Energy.
    RePEc:eee:renene:v:237:y:2024:i:pb:s0960148124016926.

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18. Multi-objective design optimization of multiple energy systems in net/nearly zero energy buildings under uncertainty correlations. (2024). Ma, Zhenjun ; Sun, Yongjun ; Lu, Menglong.
    In: Applied Energy.
    RePEc:eee:appene:v:370:y:2024:i:c:s0306261924010031.

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19. A novel informer-time-series generative adversarial networks for day-ahead scenario generation of wind power. (2024). Li, Zhuo ; Peng, Yishu ; Ye, Lin.
    In: Applied Energy.
    RePEc:eee:appene:v:364:y:2024:i:c:s0306261924005658.

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20. A novel scenario generation method of renewable energy using improved VAEGAN with controllable interpretable features. (2024). Peng, Xiangang ; Cui, Wenbo ; Lai, Loi Lei ; Liu, Jianan ; Yuan, Haoliang ; Xu, Yilin.
    In: Applied Energy.
    RePEc:eee:appene:v:363:y:2024:i:c:s0306261924002885.

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21. Scenario-based ultra-short-term rolling optimal operation of a photovoltaic-energy storage system under forecast uncertainty. (2024). Pang, Xiulan ; Xu, Ximeng ; Li, Xiaofeng ; Zhang, Pengfei ; Liu, LU ; Ma, Chao.
    In: Applied Energy.
    RePEc:eee:appene:v:356:y:2024:i:c:s0306261923017890.

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22. A Wind Power Scenario Generation Method Based on Copula Functions and Forecast Errors. (2023). Son, Yongju ; Choi, Sungyun ; Yoon, Myungseok.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:23:p:16536-:d:1293701.

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23. A WGAN-GP-Based Scenarios Generation Method for Wind and Solar Power Complementary Study. (2023). Liu, Yongqian ; Ma, Xiaomei ; Yan, Jie ; Wang, Han.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:7:p:3114-:d:1110850.

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24. Two-Stage Optimal Scheduling of Highway Self-Consistent Energy System in Western China. (2023). Gao, Yuqin ; Ye, Yujiang ; Ma, Xiaolei ; Shi, Ruifeng ; Wang, DI.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:5:p:2435-:d:1087148.

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25. Cross-Correlated Scenario Generation for Renewable-Rich Power Systems Using Implicit Generative Models. (2023). Augustin, Philip ; Bilal, Muhammad ; Shah, Hritik ; Dalal, Dhaval ; Sifat, Anwarul Islam ; Pal, Anamitra.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:4:p:1636-:d:1060160.

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26. A Review of Solar Power Scenario Generation Methods with Focus on Weather Classifications, Temporal Horizons, and Deep Generative Models. (2023). Georgilakis, Pavlos S ; Kousounadis-Knousen, Markos A ; Bazionis, Ioannis K ; Catthoor, Francky.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:15:p:5600-:d:1202094.

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27. Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting. (2023). Su, Xin ; Ma, Miaomiao ; Yang, Mao ; Wang, DA ; Xu, Chuanyu ; Dai, Bozhi.
    In: Renewable Energy.
    RePEc:eee:renene:v:211:y:2023:i:c:p:582-594.

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28. Optimal sizing of a reliability-constrained, stand-alone hybrid renewable energy system using robust satisficing. (2023). Keyvandarian, Ali ; Saif, Ahmed.
    In: Renewable Energy.
    RePEc:eee:renene:v:204:y:2023:i:c:p:569-579.

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29. Day-ahead optimization dispatch strategy for large-scale battery energy storage considering multiple regulation and prediction failures. (2023). Li, Weidong ; Muyeen, S M ; Yu, Samson Shenglong ; Zhang, Mingze ; Wen, Kerui.
    In: Energy.
    RePEc:eee:energy:v:270:y:2023:i:c:s0360544223003390.

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30. Time-coupled day-ahead wind power scenario generation: A combined regular vine copula and variance reduction method. (2023). Krishna, Attoti Bharath ; Abhyankar, Abhijit R.
    In: Energy.
    RePEc:eee:energy:v:265:y:2023:i:c:s0360544222030596.

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31. Overcoming the uncertainty and volatility of wind power: Day-ahead scheduling of hydro-wind hybrid power generation system by coordinating power regulation and frequency response flexibility. (2023). He, Mengjiao ; Jurasz, Jakub ; Zheng, Hongxi ; Liu, Fusheng ; Chen, Diyi ; Xu, Beibei ; Zhao, Ziwen ; Han, Shuo.
    In: Applied Energy.
    RePEc:eee:appene:v:333:y:2023:i:c:s0306261922018128.

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32. An adaptive active power rolling dispatch strategy for high proportion of renewable energy based on distributed deep reinforcement learning. (2023). Wang, Xiaohui ; Gao, Tianlu ; Chen, Siyuan ; Zhang, Jun ; Xu, Jian ; Bai, Yuyang.
    In: Applied Energy.
    RePEc:eee:appene:v:330:y:2023:i:pa:s0306261922015513.

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33. A New Wind Speed Scenario Generation Method Based on Principal Component and R-Vine Copula Theories. (2022). Dai, Wei ; Kurniawan, Tonni Agustiono ; Goh, Kai Chen ; Peng, Gumeng ; Zhang, Dongdong ; Cham, Chin Leei.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:7:p:2698-:d:788188.

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34. A New Type of Architecture of Dye-Sensitized Solar Cells as an Alternative Pathway to Outdoor Photovoltaics. (2022). Patsalas, Panos ; Zois, Georgios ; Lidorikis, Elefterios ; Prouskas, Costas ; Mourkas, Angelos.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:7:p:2486-:d:781489.

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35. A Wind Power Probabilistic Model Using the Reflection Method and Multi-Kernel Function Kernel Density Estimation. (2022). Baek, Seung-Mook ; Choi, Juseung ; Eom, Hoyong.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:24:p:9436-:d:1002185.

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36. A Comprehensive Tool for Scenario Generation of Solar Irradiance Profiles. (2022). Caliano, Martina ; Valenti, Maria ; di Somma, Marialaura ; Graditi, Giorgio ; Buonanno, Amedeo.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:23:p:8830-:d:981676.

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37. A transfer learning-based scenario generation method for stochastic optimal scheduling of microgrid with newly-built wind farm. (2022). Hu, Jinxing ; Li, Hongru.
    In: Renewable Energy.
    RePEc:eee:renene:v:185:y:2022:i:c:p:1139-1151.

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38. Leveraging heat accumulation of district heating network to improve performances of integrated energy system under source-load uncertainties. (2022). Cui, Zhiheng ; Huo, Shuojie ; Yan, Rujing ; Wang, Jiangjiang.
    In: Energy.
    RePEc:eee:energy:v:252:y:2022:i:c:s0360544222009057.

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39. Modified wind energy collection devices for harvesting convective wind energy from cars and trucks moving in the highway. (2022). Tan, Yan ; Hu, Wenyu ; Liao, Gaoliang ; Zhang, Feng.
    In: Energy.
    RePEc:eee:energy:v:247:y:2022:i:c:s0360544222003577.

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40. Optimal energy scheduling of grid-connected microgrids with demand side response considering uncertainty. (2022). Wong, Shen Yuong ; Goh, Kai Chen ; Liu, Hui ; Zhang, Dongdong ; Cham, Chin Leei ; Liang, Xue ; Dai, Wei ; Kurniawan, Tonni Agustiono ; Shi, Shuaiwei.
    In: Applied Energy.
    RePEc:eee:appene:v:327:y:2022:i:c:s0306261922013514.

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41. Comparing classical and metaheuristic methods to optimize multi-objective operation planning of district energy systems considering uncertainties. (2022). Ghaemi, Zahra ; Smith, Amanda D.
    In: Applied Energy.
    RePEc:eee:appene:v:321:y:2022:i:c:s0306261922007371.

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42. Distributionally robust optimal dispatch in the power system with high penetration of wind power based on net load fluctuation data. (2022). Liang, Rui ; Liu, Junpeng ; Zhao, Huan ; Yang, Hongming ; Ackom, Emmanuel ; Chen, Bowen ; Yuan, Yuan ; Xiang, Sheng.
    In: Applied Energy.
    RePEc:eee:appene:v:313:y:2022:i:c:s0306261922002586.

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43. The interactive dispatch strategy for thermostatically controlled loads based on the source–load collaborative evolution. (2022). Song, Yuguang ; Chen, Qifang ; Xia, Mingchao.
    In: Applied Energy.
    RePEc:eee:appene:v:309:y:2022:i:c:s0306261921016305.

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44. Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability. (2022). Chen, Xianqing ; Dong, Wei ; Yang, Qiang.
    In: Applied Energy.
    RePEc:eee:appene:v:308:y:2022:i:c:s0306261921016251.

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45. Update on current approaches, challenges, and prospects of modeling and simulation in renewable and sustainable energy systems. (2021). Wilson, Uwemedimo N ; Sekoai, Patrick T ; Eterigho-Ikelegbe, Orevaoghene ; Daramola, Michael O ; Yoro, Kelvin O.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:150:y:2021:i:c:s1364032121007851.

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46. Wind speed behaviors feather analysis and its utilization on wind speed prediction using 3D-CNN. (2021). Xu, Zixu ; Wang, YU ; Chen, Yao ; Zhu, Xiaoxun ; Gao, Xiaoxia ; Liu, Ruizhang.
    In: Energy.
    RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017710.

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25. Rapid rise of decarbonization potentials of photovoltaics plus electric vehicles in residential houses over commercial districts. (2022). Hirano, Yujiro ; Choi, Young Hun ; Yamagata, Yoshiki ; Kobashi, Takuro ; Say, Kelvin.
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26. The Potential of Sustainable Biomass Producer Gas as a Waste-to-Energy Alternative in Malaysia. (2021). Teoh, Yew Heng ; Jie, Yeoh Jun ; Le, Thanh Danh ; Teh, Jun Sheng ; Nguyen, Huu Tho ; How, Heoy Geok ; Loo, Dong Lin.
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27. Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids. (2021). Wang, Shengwei ; Hu, Maomao ; Xiao, FU.
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28. Adaptive robust co-optimization of wind energy generation, electric vehicle batteries and flexible AC transmission system devices. (2021). Mokarram, Mohammad Jafar ; Shafie-Khah, Miadreza ; Aghaei, Jamshid ; Nikoobakht, Ahmad.
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29. A hybrid robust-stochastic framework for strategic scheduling of integrated wind farm and plug-in hybrid electric vehicle fleets. (2021). Ravadanegh, Sajad Najafi ; Zeynali, Saeed ; Nasiri, Nima ; Marzband, Mousa.
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30. Switching strategy of the low wind speed wind turbine based on real-time wind process prediction for the integration of wind power and EVs. (2020). Liu, Yongqian ; Han, Shuang ; Yan, Jie ; Wang, Han.
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31. Review of wind power scenario generation methods for optimal operation of renewable energy systems. (2020). Li, Jinghua ; Zhou, Jiasheng ; Chen, BO.
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32. Day-ahead bidding strategy for electric vehicle aggregator enabling multiple agent modes in uncertain electricity markets. (2020). Shao, Ziyun ; Zheng, Yanchong ; Jian, Linni ; Yu, Hang.
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33. An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision. (2020). de Greve, Zacharie ; Hosseini, Seyyed Ahmad ; Toubeau, Jean-Franois ; Vallee, Franois.
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34. Large-scale aggregation of prosumers toward strategic bidding in joint energy and regulation markets. (2020). Xiao, Xiangsheng ; Lin, Rui ; Wang, Jianxiao ; Hill, David J ; Kang, Chongqing.
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    RePEc:eee:appene:v:271:y:2020:i:c:s0306261920306711.

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35. GIS-based modelling of electric-vehicle–grid integration in a 100% renewable electricity grid. (2020). Li, Mengyu ; Lenzen, Manfred ; Nansai, Keisuke ; Wang, Dai.
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36. Two-stage stochastic sizing and packetized energy scheduling of BEV charging stations with quality of service constraints. (2020). Calderaro, Vito ; Galdi, Vincenzo ; Mancarella, Pierluigi ; Graber, Giuseppe.
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37. Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model. (2020). Siano, Pierluigi ; Shafie-Khah, Miadreza ; Khaloie, Hooman ; Anvari-Moghaddam, Amjad ; Abdollahi, Amir ; Nojavan, Sayyad.
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38. Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles. (2020). Deng, Zhongwei ; Yang, Yixin ; Cai, Yishan.
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