1. 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.

   Full description at Econpapers || Download paper

2. 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.

   Full description at Econpapers || Download paper

3. Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: Data generation, incremental learning, transfer learning, and physics-informed. (2024). Fang, XI ; Gao, Jiajia ; Xu, Chengliang ; He, Xin ; Deng, Jiahui ; Xiong, Chenglong ; Zhan, Lei ; Li, Guannan.
   In: Energy.
   RePEc:eee:energy:v:312:y:2024:i:c:s0360544224034182.

   Full description at Econpapers || Download paper

1. Abdoos, A.A. ; Abdoos, H. ; Kazemitabar, J. ; Mobashsher, M.M. ; Khaloo, H. An intelligent hybrid method based on Monte Carlo simulation for short-term probabilistic wind power prediction. 2023 Energy. 278 -

2. Ahmad, T. ; Zhang, D. ; Huang, C. ; Zhang, H. ; Dai, N. ; Song, Y. Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities. 2021 J Clean Prod. 289 -
   Paper not yet in RePEc: Add citation now
   
3. Arjovsky, M. ; Chintala, S. ; Bottou, L. Wasserstein generative adversarial networks. 2017 En : International conference on machine learning, PMLR. :
   Paper not yet in RePEc: Add citation now
   
4. Chen Y, Li P, Zhang B. Bayesian renewables scenario generation via deep generative networks. In: 2018 52nd annual conference on information sciences and systems, IEEE 2018:1–6.
   Paper not yet in RePEc: Add citation now
   
5. Chen, X. ; Duan, Y. ; Houthooft, R. ; Schulman, J. ; Sutskever, I. ; Abbeel, P. Infogan: interpretable representation learning by information maximizing generative adversarial nets. 2016 Adv Neural Inform Process Syst. 29 -
   Paper not yet in RePEc: Add citation now
   
6. Chen, Y. ; Wang, Y. ; Kirschen, D. ; Zhang, B. Model-free renewable scenario generation using generative adversarial networks. 2018 IEEE Trans Power Syst. 33 3265-3275
   Paper not yet in RePEc: Add citation now
   
7. Cramer, E. ; Gorjao, L.R. ; Mitsos, A. ; Schäfer, B. ; Witthaut, D. ; Dahmen, M. Validation methods for energy time series scenarios from deep generative models. 2022 IEEE Access. 10 8194-8207
   Paper not yet in RePEc: Add citation now
   
8. Cramer, E. ; Paeleke, L. ; Mitsos, A. ; Dahmen, M. Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators. 2022 Comput Chem Eng. 166 -
   Paper not yet in RePEc: Add citation now
   
9. Cremer, J.L. ; Konstantelos, I. ; Strbac, G. From optimization-based machine learning to interpretable security rules for operation. 2019 IEEE Trans Power Syst. 34 3826-3836
   Paper not yet in RePEc: Add citation now
   
10. Delikaraoglou, S. ; Pinson, P. High-quality wind power scenario forecasts for decision-making under uncertainty in power systems. 2014 En : 13th International workshop on large-scale integration of wind power into power systems as well as on transmission networks for offshore wind power, WIW. :
    Paper not yet in RePEc: Add citation now
    

11. Dong, W. ; Chen, X. ; Yang, Q. Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability. 2022 Appl Energy. 308 -

12. Dumas, J. ; Wehenkel, A. ; Lanaspeze, D. ; Cornélusse, B. ; Sutera, A. A deep generative model for probabilistic energy forecasting in power systems: normalizing flows. 2022 Appl Energy. 305 -

13. Goodfellow, I. ; Bengio, Y. ; Courville, A. Deep learning. 2016 MIT Press:
    Paper not yet in RePEc: Add citation now
    
14. Goodfellow, I. ; Pouget-Abadie, J. ; Mirza, M. ; Xu, B. ; Warde-Farley, D. ; Ozair, S. Generative adversarial nets. 2014 Adv Neural Inform Process Syst. 27 2672-2780
    Paper not yet in RePEc: Add citation now
    
15. Jiang, C. ; Chai, Y. ; Yu, M. ; Tao, S.B. Scenario generation for wind power using improved generative adversarial networks. 2018 IEEE Access. 6 62193-62203
    Paper not yet in RePEc: Add citation now
    
16. Kim, J.Y. ; Cho, S.B. Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space. 2021 Expert Syst Appl. 186 -
    Paper not yet in RePEc: Add citation now
    
17. Kingma, D.P. ; Welling, M. Auto-encoding variational bayes. 2013 :
    Paper not yet in RePEc: Add citation now
    
18. Kobyzev, I. ; Prince, S.J.D. ; Brubaker, M.A. Normalizing flows: an introduction and review of current methods. 2020 IEEE Trans Pattern Anal Mach Intell. 43 3964-3979
    Paper not yet in RePEc: Add citation now
    
19. Kobyzev, I. ; Prince, S.J.D. ; Brubaker, M.A. Normalizing flows: an introduction and review of current methods. 2020 IEEE Trans Pattern Anal Mach Intell. 43 3964-3979
    Paper not yet in RePEc: Add citation now
    

20. Krishna, A.B. ; Abhyankar, A.R. Time-coupled day-ahead wind power scenario generation: a combined regular vine copula and variance reduction method. 2023 Energy. 265 -

21. Kullback, S. ; Leibler, R.A. On information and sufficiency. 1951 Ann Math Stat. 22 79-86
    Paper not yet in RePEc: Add citation now
    

22. Lai, C.S. ; Jia, Y. ; Lai, L.L. ; Xu, Z. ; McCulloch, M.D. ; Wong, K.P. A comprehensive review on large-scale photovoltaic system with applications of electrical energy storage. 2017 Renew Sustain Energy Rev. 78 439-451

23. Lee, D. ; Baldick, R. Load and wind power scenario generation through the generalized dynamic factor model. 2016 IEEE Trans Power Syst. 32 400-410
    Paper not yet in RePEc: Add citation now
    
24. Lee, M. ; Seok, J. Controllable generative adversarial network. 2019 IEEE Access. 7 28158-28169
    Paper not yet in RePEc: Add citation now
    

25. Li, J. ; Zhou, J. ; Chen, B. Review of wind power scenario generation methods for optimal operation of renewable energy systems. 2020 Appl Energy. 280 -

26. Liang, J. ; Tang, W. Sequence generative adversarial networks for wind power scenario generation. 2019 IEEE J Sel Areas Commun. 38 110-118
    Paper not yet in RePEc: Add citation now
    
27. Liang, X. ; Hao, W. Synthesis of realistic load data: Adversarial networks for learning and generating residential load patterns. 2022 En : Tackling climate change with machine learning 2022, NIPS. :
    Paper not yet in RePEc: Add citation now
    

28. Long, S. ; Marjanovic, O. ; Parisiov, A. Generalised control-oriented modelling framework for multi-energy systems. 2019 Appl Energy. 235 320-331

29. Machlev, R. ; Heistrene, L. ; Perl, M. ; Levy, K.Y. ; Belikov, J. ; Mannor, S. Explainable artificial intelligence (XAI) techniques for energy and power systems: review, challenges and opportunities. 2022 Energy AI. 9 -
    Paper not yet in RePEc: Add citation now
    
30. Mirza, M. ; Osindero, S. Conditional generative adversarial nets. 2014 Comput Sci. 2672-2680
    Paper not yet in RePEc: Add citation now
    
31. Miyato, T. ; Kataoka, T. ; Koyama, M. ; Yoshida, Y. Spectral normalization for generative adversarial networks. 2018 :
    Paper not yet in RePEc: Add citation now
    
32. Papaefthymio, G. ; Kurowicka, D. Using copulas for modeling stochastic dependence in power system uncertainty analysis. 2008 IEEE Trans Power Syst. 24 40-49
    Paper not yet in RePEc: Add citation now
    
33. Papamakarios, G. ; Nalisnick, E. ; Rezende, D.J. ; Mohamed, S. ; Lakshminarayanan, B. Normalizing flows for probabilistic modeling and inference. 2021 J Mach Learn Res. 22 2617-2680
    Paper not yet in RePEc: Add citation now
    
34. Qiao, J. ; Pu, T. ; Wang, X. Renewable scenario generation using controllable generative adversarial networks with transparent latent space. 2021 CSEE J Power Energy Syst. 7 66-77
    Paper not yet in RePEc: Add citation now
    
35. Radford, A. ; Metz, L. ; Chintala, S. Unsupervised representation learning with deep convolutional generative adversarial networks. 2015 Comput Sci. -
    Paper not yet in RePEc: Add citation now
    
36. Saatci, Y. ; Andrew, G.W. Bayesian GAN. 2017 Adv Neural Inform Process Syst. 30 -
    Paper not yet in RePEc: Add citation now
    

37. Sun, M. ; Cremer, J. ; Strbac, G. A novel data-driven scenario generation framework for transmission expansion planning with high renewable energy penetration. 2018 Appl Energy. 228 546-555

38. Togelou, A. ; Sideratos, G. ; Hatziargyriou, N.D. Wind power forecasting in the absence of historical data. 2012 IEEE Trans Sustain Energy. 3 416-421
    Paper not yet in RePEc: Add citation now
    
39. Veena, R. ; Mathew, S. ; Petra, M.I. Artificially intelligent models for the site-specific performance of wind turbines. 2020 Int J Energy Environ Eng. 11 289-297
    Paper not yet in RePEc: Add citation now
    
40. Wu, K. ; Peng, X. ; Li, Z. ; Cui, W. ; Yuan, H. ; Lai, C.S. A short-term photovoltaic power forecasting method combining a deep learning model with trend feature extraction and feature selection. 2022 Energies. 15-
    Paper not yet in RePEc: Add citation now
    
41. Ye, F. ; Bors, A.G. Learning joint latent representations based on information maximization. 2021 Inform Sci. 567 216-236
    Paper not yet in RePEc: Add citation now
    
42. Yin, X. ; Han, Y. ; Xu, Z. ; Liu, J. VAECGAN: a generating framework for long-term prediction in multivariate time series. 2021 Cybersecurity. 4 1-12
    Paper not yet in RePEc: Add citation now
    
43. Yoshida, Y. ; Miyato, T. Spectral norm regularization for improving the generalizability of deep learning. 2017 :
    Paper not yet in RePEc: Add citation now
    
44. Yu L, Zhang W, Wang J, Yu Y. Seqgan: Sequence generative adversarial nets with policy gradient. In: Proceedings of the AAAI conference on artificial intelligence 2017;31(1).
    Paper not yet in RePEc: Add citation now
    
45. Yu, H. ; Chung, C. ; Wong, K. ; Lee, H. ; Zhang, J. Probabilistic load flow evaluation with hybrid latin hypercube sampling and Cholesky decomposition. 2009 IEEE Trans Power Syst. 24 661-667
    Paper not yet in RePEc: Add citation now
    
46. Zhang, S. ; Cheng, H. ; Li, K. ; Bazargan, M. ; Yao, L. Optimal siting and sizing of intermittent distributed generators in distribution system. 2015 IEEJ Trans Electric Electron Eng. 10 628-635
    Paper not yet in RePEc: Add citation now
    
47. Zhang, Y. ; Ai, Q. ; Wang, H. ; Li, Z. ; Zhou, X. Energy theft detection in an edge data center using threshold-based abnormality detector. 2020 Int J Electric Power Energy Syst. 121 -
    Paper not yet in RePEc: Add citation now
    
48. Zhang, Y. ; Ai, Q. ; Xiao, F. ; Hao, R. ; Lu, T. Typical wind power scenario generation for multiple wind farms using conditional improved wasserstein generative adversarial network. 2020 Int J Electric Power Energy Syst. 114 -
    Paper not yet in RePEc: Add citation now
    

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.

   Full description at Econpapers || Download paper

2. Statistical Foundations of Generative AI for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions. (2025). Ginzburg-Ganz, Elinor ; Horodi, Eden Dina ; Shadafny, Omar ; Savir, Uri ; MacHlev, Ram ; Levron, Yoash.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:10:p:2461-:d:1653296.

   Full description at Econpapers || Download paper

3. A comprehensive wind power prediction system based on correct multiscale clustering ensemble, similarity matching, and improved whale optimization algorithm—A case study in China. (2025). Yu, Chunsheng.
   In: Renewable Energy.
   RePEc:eee:renene:v:243:y:2025:i:c:s0960148125001910.

   Full description at Econpapers || Download paper

4. 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.

   Full description at Econpapers || Download paper

5. Demand response of PEV networks by dynamic distributed pinning control scheme. (2025). Yu, Jie ; Lai, Meiyi ; Fan, Yueyun ; Hu, Jianqiang.
   In: Energy.
   RePEc:eee:energy:v:317:y:2025:i:c:s0360544225002543.

   Full description at Econpapers || Download paper

6. Low-carbon planning for integrated power-gas-hydrogen system with Wasserstein-distance based scenario generation method. (2025). Wang, Hong ; Qiu, Jing ; Wu, Ting ; Zhang, Xian ; Wen, Ziyi.
   In: Energy.
   RePEc:eee:energy:v:316:y:2025:i:c:s0360544225000301.

   Full description at Econpapers || Download paper

7. 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.

   Full description at Econpapers || Download paper

8. Revolutionizing solar energy resources: The central role of generative AI in elevating system sustainability and efficiency. (2025). Mousavi, Arash ; Fekih, Afef ; Alfi, Alireza ; Kucukdemiral, Ibrahim Beklan ; Arab, Aliasghar ; Tavasoli, Mahsa.
   In: Applied Energy.
   RePEc:eee:appene:v:382:y:2025:i:c:s0306261925000261.

   Full description at Econpapers || Download paper

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.

   Full description at Econpapers || Download paper

10. Data-driven climate resilience assessment for distributed energy systems using diffusion transformer and polynomial expansions. (2025). Tan, Qinliang ; He, Jiaming ; Lv, Hanyu.
    In: Applied Energy.
    RePEc:eee:appene:v:380:y:2025:i:c:s0306261924023407.

    Full description at Econpapers || Download paper

11. A novel conditional diffusion model for joint source-load scenario generation considering both diversity and controllability. (2025). Lu, Xinhui ; Yang, Shanlin ; Shao, Zhen ; Zhao, Wei.
    In: Applied Energy.
    RePEc:eee:appene:v:377:y:2025:i:pc:s030626192401938x.

    Full description at Econpapers || Download paper

12. 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.

    Full description at Econpapers || Download paper

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.

    Full description at Econpapers || Download paper

14. Leveraging the Synergy of Digital Twins and Artificial Intelligence for Sustainable Power Grids: A Scoping Review. (2024). Hewapathirana, Kushan ; Sun, Yuan ; Alahakoon, Damminda ; Ranawaka, Ama.
    In: Energies.
    RePEc:gam:jeners:v:17:y:2024:i:21:p:5342-:d:1507745.

    Full description at Econpapers || Download paper

15. 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.

    Full description at Econpapers || Download paper

16. Generating synthetic energy time series: A review. (2024). Phipps, K ; Springer, L ; Weingrtner, L ; Heidrich, B ; Turowski, M ; Hagenmeyer, V ; Mikut, R ; Schfer, B.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:206:y:2024:i:c:s1364032124005689.

    Full description at Econpapers || Download paper

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.

    Full description at Econpapers || Download paper

18. Design optimization of community energy systems based on dual uncertainties of meteorology and load for robustness improvement. (2024). Zhang, Shuo ; Zhao, Quanbin ; Ou, Kejie ; Xue, Kai ; Wang, Jinshi ; Hu, Guangtao ; Sun, Zhiyong ; Chen, Weixiong.
    In: Renewable Energy.
    RePEc:eee:renene:v:232:y:2024:i:c:s0960148124010243.

    Full description at Econpapers || Download paper

19. Flexibility-based expansion planning of active distribution networks considering optimal operation of multi-community integrated energy systems. (2024). Zhou, Xiulin ; Zhang, Gao Yuan ; Liu, Chunming ; Wang, Chunling.
    In: Energy.
    RePEc:eee:energy:v:307:y:2024:i:c:s0360544224023752.

    Full description at Econpapers || Download paper

20. Matrix Wasserstein distance generative adversarial network with gradient penalty for fast low-carbon economic dispatch of novel power systems. (2024). Yin, Linfei ; Lin, Chen.
    In: Energy.
    RePEc:eee:energy:v:298:y:2024:i:c:s0360544224011307.

    Full description at Econpapers || Download paper

21. A GCN-based adaptive generative adversarial network model for short-term wind speed scenario prediction. (2024). Xiang, XI ; Liu, Xin ; Gong, Lin ; Yu, Jingjia.
    In: Energy.
    RePEc:eee:energy:v:294:y:2024:i:c:s0360544224007035.

    Full description at Econpapers || Download paper

22. The ultra-short-term wind power point-interval forecasting model based on improved variational mode decomposition and bidirectional gated recurrent unit improved by improved sparrow search algorithm and attention mechanism. (2024). Cui, Xiwen ; Yu, Xiaoyu ; Niu, Dongxiao.
    In: Energy.
    RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031079.

    Full description at Econpapers || Download paper

23. 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.

    Full description at Econpapers || Download paper

24. 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.

    Full description at Econpapers || Download paper

25. Sensing anomaly of photovoltaic systems with sequential conditional variational autoencoder. (2024). Yang, Zheng ; Zhang, Yufei ; Jin, Yaohui ; Xu, Yanyan ; Li, Ding.
    In: Applied Energy.
    RePEc:eee:appene:v:353:y:2024:i:pa:s0306261923014885.

    Full description at Econpapers || Download paper

26. Bayesian deep neural networks for spatio-temporal probabilistic optimal power flow with multi-source renewable energy. (2024). Xu, Zidong ; Yin, Linfei ; Gao, Fang.
    In: Applied Energy.
    RePEc:eee:appene:v:353:y:2024:i:pa:s0306261923014708.

    Full description at Econpapers || Download paper

27. Integrated Transmission Network Planning by Considering Wind Power’s Uncertainty and Disasters. (2023). Yang, Zhanxin ; Tang, Yuchen ; Shi, Yishan ; Lin, YI ; Guo, Ruipeng.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:14:p:5336-:d:1192583.

    Full description at Econpapers || Download paper

28. A hybrid meteorological data simulation framework based on time-series generative adversarial network for global daily solar radiation estimation. (2023). Ding, Tao ; Cheng, Lilin ; Liu, Jingxuan ; Zang, Haixiang ; Sun, Guoqiang ; Zhang, Fengchun ; Wei, Zhinong.
    In: Renewable Energy.
    RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123012892.

    Full description at Econpapers || Download paper

29. Scenario-based robust capacity planning of regional integrated energy systems considering carbon emissions. (2023). Chen, Xianqing ; Dong, Wei ; Yang, Qiang.
    In: Renewable Energy.
    RePEc:eee:renene:v:207:y:2023:i:c:p:359-375.

    Full description at Econpapers || Download paper

30. TimeGAN based distributionally robust optimization for biomass-photovoltaic-hydrogen scheduling under source-load-market uncertainties. (2023). Wang, Yuwei ; Song, Minghao ; Jia, Mengyao ; Shi, Lin ; Li, Bingkang.
    In: Energy.
    RePEc:eee:energy:v:284:y:2023:i:c:s0360544223019837.

    Full description at Econpapers || Download paper

31. Distribution network expansion planning considering a distributed hydrogen-thermal storage system based on photovoltaic development of the Whole County of China. (2023). Guo, YU ; Zhao, Xuanyuan ; Wang, Rijun ; Huang, Nantian ; Cai, Guowei.
    In: Energy.
    RePEc:eee:energy:v:278:y:2023:i:c:s0360544223011556.

    Full description at Econpapers || Download paper

32. Revealing the impact of renewable uncertainty on grid-assisted power-to-X: A data-driven reliability-based design optimization approach. (2023). Qi, Meng ; Park, Jinwoo ; Kim, Jeongdong ; Moon, IL.
    In: Applied Energy.
    RePEc:eee:appene:v:339:y:2023:i:c:s0306261923003793.

    Full description at Econpapers || Download paper

33. Hydrogen yield prediction for supercritical water gasification based on generative adversarial network data augmentation. (2023). Ma, Zherui ; Zhao, Zhenghui ; Feng, Yingsong ; Wang, Ruikun ; Chen, Hongwei.
    In: Applied Energy.
    RePEc:eee:appene:v:336:y:2023:i:c:s0306261923001782.

    Full description at Econpapers || Download paper

34. Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation. (2023). Chen, Zhiqiang ; Liu, Xiufeng ; Cheng, Long.
    In: Applied Energy.
    RePEc:eee:appene:v:334:y:2023:i:c:s0306261923000752.

    Full description at Econpapers || Download paper

35. Transmission Expansion Planning Considering Wind Power and Load Uncertainties. (2022). Xu, Ying ; Xie, Yilin.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:19:p:7140-:d:928174.

    Full description at Econpapers || Download paper

36. Robust optimal capacity planning of grid-connected microgrid considering energy management under multi-dimensional uncertainties. (2022). Chen, Xianqing ; Dong, Wei ; Yang, Qiang.
    In: Applied Energy.
    RePEc:eee:appene:v:323:y:2022:i:c:s0306261922009436.

    Full description at Econpapers || Download paper

37. Lightweight actor-critic generative adversarial networks for real-time smart generation control of microgrids. (2022). Yin, Linfei ; Han, Kunlun ; Yang, Kai.
    In: Applied Energy.
    RePEc:eee:appene:v:317:y:2022:i:c:s0306261922005359.

    Full description at Econpapers || Download paper

Report date: 2025-09-23 12:48:06 || Missing content? Let us know