1. Probabilistic Forecasting of Provincial Regional Wind Power Considering Spatio-Temporal Features. (2025). Li, Yupeng ; Lin, Chen.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:3:p:652-:d:1580755.

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2. A novel frequency-domain physics-informed neural network for accurate prediction of 3D spatio-temporal wind fields in wind turbine applications. (2025). Li, Shaopeng ; Jiang, Yan ; Yang, Qingshan ; Lin, Min ; Peng, Liuliu ; Yu, Jianhan.
   In: Applied Energy.
   RePEc:eee:appene:v:386:y:2025:i:c:s0306261925002569.

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3. Analysis and prediction of incoming wind speed for turbines in complex wind farm: Accounting for meteorological factors and spatiotemporal characteristics of wind farm. (2025). Ma, Wanli ; Zhu, Xiaoxun ; Lu, Hongkun ; Yu, Jinxiao ; Gao, Xiaoxia ; Zhao, Qiansheng ; Wang, YU ; Cao, Jingyuan.
   In: Applied Energy.
   RePEc:eee:appene:v:381:y:2025:i:c:s0306261924025194.

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4. A state-of-the-art analysis on decomposition method for short-term wind speed forecasting using LSTM and a novel hybrid deep learning model. (2024). Hu, Gang ; Zhang, Jize ; Liang, Yang.
   In: Energy.
   RePEc:eee:energy:v:313:y:2024:i:c:s0360544224036041.

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5. A novel hybrid model for multi-step-ahead forecasting of wind speed based on univariate data feature enhancement. (2024). Gui, Renzhou ; Zhu, Wenbo ; Li, Zheng ; Zhao, Xiaomeng ; Wang, Yaqi.
   In: Energy.
   RePEc:eee:energy:v:312:y:2024:i:c:s0360544224032912.

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6. Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN. (2024). Gao, Zhigang ; Wu, Xinrong ; Li, Qingyang ; Wang, Guosong ; Dan, BO.
   In: Energy.
   RePEc:eee:energy:v:299:y:2024:i:c:s0360544224012210.

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7. Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator. (2024). Wang, Yuhan ; Fu, Yongyan ; Qiao, Xiujie ; Peng, Tian ; Nazir, Muhammad Shahzad ; Zhang, Chu.
   In: Energy.
   RePEc:eee:energy:v:295:y:2024:i:c:s0360544224008302.

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8. A hybrid methodology using VMD and disentangled features for wind speed forecasting. (2024). Kosana, Vishalteja ; Parri, Srihari ; Teeparthi, Kiran.
   In: Energy.
   RePEc:eee:energy:v:288:y:2024:i:c:s0360544223032188.

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9. A Short-Term Wind Power Forecasting Model Based on 3D Convolutional Neural Network–Gated Recurrent Unit. (2023). Zhang, Yinbao ; Huang, Xiaoshuang ; Liu, Sicong.
   In: Sustainability.
   RePEc:gam:jsusta:v:15:y:2023:i:19:p:14171-:d:1247309.

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10. A novel ensemble system for short-term wind speed forecasting based on Two-stage Attention-Based Recurrent Neural Network. (2023). Zhang, Ziyuan ; Xia, Yurui ; Luo, Tianrui ; Wang, Jianzhou ; Wei, Danxiang.
    In: Renewable Energy.
    RePEc:eee:renene:v:204:y:2023:i:c:p:11-23.

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11. Dynamic multi-turbines spatiotemporal correlation model enabled digital twin technology for real-time wind speed prediction. (2023). Li, Yang ; Shen, Xiaojun ; Zhou, Chongcheng.
    In: Renewable Energy.
    RePEc:eee:renene:v:203:y:2023:i:c:p:841-853.

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12. Spatio-temporal correlation for simultaneous ultra-short-term wind speed prediction at multiple locations. (2023). Zhou, Xuhong ; Shen, Ruifang ; Yang, Qingshan ; Zhang, LE ; Li, KE ; Wang, Zhenguo.
    In: Energy.
    RePEc:eee:energy:v:284:y:2023:i:c:s0360544223018121.

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13. Effects of spatiotemporal correlations in wind data on neural network-based wind predictions. (2023). Lee, Sangseung ; Ruttgers, Mario ; Shin, Heesoo.
    In: Energy.
    RePEc:eee:energy:v:279:y:2023:i:c:s0360544223014627.

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14. An efficient wind speed prediction method based on a deep neural network without future information leakage. (2023). Wang, Zhenguo ; Zhou, Xuhong ; Shen, Ruifang ; Yang, Qingshan ; Li, KE.
    In: Energy.
    RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034764.

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15. Sustainable energies and machine learning: An organized review of recent applications and challenges. (2023). Asadi, Somayeh ; Ifaei, Pouya ; Nazari-Heris, Morteza ; Yoo, Changkyoo ; Tayerani, Amir Saman.
    In: Energy.
    RePEc:eee:energy:v:266:y:2023:i:c:s0360544222033187.

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16. Research on wind speed behavior prediction method based on multi-feature and multi-scale integrated learning. (2023). Hongkun, LU ; Ruizhang, Liu ; Huaxin, Liu ; Xinyu, Hang ; Xiaoxia, Gao ; Yao, Chen ; Xiaoxun, Zhu ; Zixu, XU.
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    RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222024793.

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17. Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model. (2022). Yu, Min ; Sun, Lijie ; Wang, Keke ; Niu, Dongxiao.
    In: Energy.
    RePEc:eee:energy:v:254:y:2022:i:pa:s0360544222012877.

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18. Adaptive time window convolutional neural networks concerning multiple operation modes with applications in energy efficiency predictions. (2022). Wang, Yongjian ; Zeng, Xianglong ; Li, Hongguang ; Qi, Chu.
    In: Energy.
    RePEc:eee:energy:v:240:y:2022:i:c:s0360544221027559.

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1. A Review of Multi-Temporal Scale Regulation Requirements of Power Systems and Diverse Flexible Resource Applications. (2025). Li, Fan ; Wang, Hongzhen ; Sun, KE ; Liu, Dong.
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   RePEc:gam:jeners:v:18:y:2025:i:3:p:643-:d:1580481.

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2. Techno-economic feasible region of electrochemical energy storage participating in the day-ahead electricity market trading. (2025). Tan, Dingchang ; Yan, Jie ; Liu, Yongqian ; Han, Shuang ; Zhang, Haoran.
   In: Energy.
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3. Online assessment of frequency support capability of the DFIG-based wind farm using a knowledge and data-driven fusion Koopman method. (2025). Zhang, Xinhao ; Gan, Wei ; Zhou, Hongyu ; Zong, Qihang ; Yao, Wei ; Ruan, Yimin ; Wen, Jinyu ; Li, Shaolin.
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   RePEc:eee:appene:v:377:y:2025:i:pb:s0306261924019019.

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4. Benefits of energy storage systems and its potential applications in Malaysia: A review. (2024). Tee, Wei Hown ; Sardi, Junainah ; Gan, Chin Kim.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:192:y:2024:i:c:s1364032123010742.

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5. Trade-off between frequency stability and renewable generation – Studying virtual inertia from solar PV and operating stability constraints. (2024). Sebastian, Oliva H ; Carlos, Bahamonde D.
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   RePEc:eee:renene:v:232:y:2024:i:c:s0960148124011431.

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6. Wind farm control using distributed economic MPC scheme under the influence of wake effect. (2024). Liu, Wenting ; Ma, Lele ; Kong, Xiaobing ; Wang, Wenwen ; Lee, Kwang Y.
   In: Energy.
   RePEc:eee:energy:v:309:y:2024:i:c:s0360544224026768.

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7. Two-layer energy management strategy for grid-integrated multi-stack power-to-hydrogen station. (2024). Xu, Yanhui ; Qi, Ruomei ; Lin, Jin ; Liu, Feng ; Yang, Bosen ; Song, Yonghua ; Qiu, Yiwei.
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8. Data-driven approach for day-ahead System Non-Synchronous Penetration forecasting: A comprehensive framework, model development and analysis. (2024). Khadem, Shafi ; Patra, Sandipan ; Trivedi, Rohit ; Bahloul, Mohamed ; Cardo-Miota, Javier.
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9. A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems. (2023). Saeed, Sarmad ; Asghar, Rafiq ; Wadood, Hamid ; Fulginei, Francesco Riganti.
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10. Sustainable Energy Policies in Developing Countries: A Review of Challenges and Opportunities. (2023). Falcone, Pasquale Marcello.
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    RePEc:gam:jeners:v:16:y:2023:i:18:p:6682-:d:1242335.

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11. Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives. (2023). Zhang, Yuquan ; Zheng, Yuan ; Sun, Yonghui ; Mahfoud, Rabea Jamil ; Alkayem, Nizar Faisal ; Alhelou, Hassan Haes.
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12. Stochastic performance evaluation method of wind power DC bus voltage control system. (2023). Meng, Qingwei ; Sun, Hao ; Fang, Fang.
    In: Renewable Energy.
    RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123013265.

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13. Dynamic grid stability in low carbon power systems with minimum inertia. (2023). McLoone, Sean ; Best, Robert James ; Ahmed, Faraedoon ; al Kez, Dlzar ; Cameron, Che ; Foley, Aoife.
    In: Renewable Energy.
    RePEc:eee:renene:v:210:y:2023:i:c:p:486-506.

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14. Comparison of organic coolants for boiling cooling of proton exchange membrane fuel cell. (2023). Zhuge, Weilin ; Zhou, Taotao ; Li, Qingshan ; Sun, LI ; Wang, Chunmei ; Zhang, Yangjun.
    In: Energy.
    RePEc:eee:energy:v:266:y:2023:i:c:s0360544222032285.

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15. Wind Energy Harvesting and Conversion Systems: A Technical Review. (2022). , Sinhara ; Conlon, Michael ; Narayana, Mahinsasa ; Sunderland, Keith ; Putrus, Ghanim.
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16. Comprehensive Review on Fault Ride-Through Requirements of Renewable Hybrid Microgrids. (2022). El-Hay, Enas A ; Moheb, Aya M ; El-Fergany, Attia A.
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17. Thermo-Ecological Cost (TEC) –comparison of energy-ecological efficiency of renewable and non-renewable energy technologies. (2022). Stanek, Wojciech.
    In: Energy.
    RePEc:eee:energy:v:261:y:2022:i:pa:s0360544222020461.

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18. Use of smart grid based wind resources in isolated power systems. (2022). Beryozkina, Svetlana ; Khasanzoda, Nasrullo ; Safaraliev, Murodbek ; Ahyoev, Javod ; Rahimov, Jamshed ; Zicmane, Inga.
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19. High voltage direct current systems through submarine cables for offshore wind farms: A life-cycle cost analysis with voltage source converters for bulk power transmission. (2022). Acarolu, Hakan ; Garcia, Fausto Pedro.
    In: Energy.
    RePEc:eee:energy:v:249:y:2022:i:c:s0360544222006168.

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20. Recent advances in methods, policies and technologies at sustainable energy systems development. (2022). Guzovi, Zvonimir ; Duic, Neven ; Markovska, Natasa ; Lund, Henrik ; Mathiesen, Brian Vad ; Piacentino, Antonio.
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21. A bottom-up approach for techno-economic analysis of battery energy storage system for Irish grid DS3 service provision. (2022). Khadem, Shafiuzzaman K ; Daoud, Mohamed ; Bahloul, Mohamed.
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22. Developing future retail electricity markets with a customer-centric focus. (2022). Hampton, Harrison ; del Rio, Dylan Furszyfer ; Sovacool, Benjamin ; Foley, Aoife M.
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23. Contribution of Wind Farms to the Stability of Power Systems with High Penetration of Renewables. (2021). Arnaltes, Santiago ; Rodriguez, Jose Luis ; Martinez, Jesus Castro ; Alonso-Martinez, Jaime.
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24. 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.
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25. Probabilistic modeling of wind energy potential for power grid expansion planning. (2021). Hur, Jin ; Kim, Gyeongmin.
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26. An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings interactions, uncertainty and sensitivity analysis. (2021). Zhou, Yuekuan ; Cao, Sunliang.
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27. Battery energy storage system state-of-charge management to ensure availability of frequency regulating services from wind farms. (2020). Littler, Timothy ; Boyle, James ; Foley, Aoife.
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