المؤلفون: Wei Li, Lu Gao, Fei Zhang, XiaoYing Ren, Ling Qin

المصدر: Energy Science & Engineering, Vol 12, Iss 12, Pp 5566-5589 (2024)

مصطلحات موضوعية: Informer, sparrow search algorithm, ultra‐short‐term wind power forecasting, variational mode decomposition, Technology, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2050-0505

URL الوصول: https://doaj.org/article/644f0b24706248daa695c0a344b09723

المؤلفون: Lei Zhang, Shaoming Zhu, Shen Su, Xiaofeng Chen, Yan Yang, Bing Zhou

المصدر: Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Wind power forecasting, Privacy protection, Federated learning, Deep learning, Cloud computing, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2192-113X

URL الوصول: https://doaj.org/article/c42e48fe07c84775bd232ea11ddaa674

المؤلفون: Moussa Belletreche, Nadjem Bailek, Mostafa Abotaleb, Kada Bouchouicha, Bilel Zerouali, Mawloud Guermoui, Alban Kuriqi, Amal H. Alharbi, Doaa Sami Khafaga, Mohamed EL-Shimy, El-Sayed M. El-kenawy

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

مصطلحات موضوعية: Wind power forecasting, Convolutional neural network, Hybrid deep learning, Energy transition, Long short-term memory, Attention mechanism, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/7fa2f36a9d6f40df86087ed17e1dd392

المؤلفون: Ferial ElRobrini, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Nedaa Al-Tawalbeh, Naureen Akhtar, Filippo Sanfilippo

المصدر: Energy and AI, Vol 18, Iss , Pp 100438- (2024)

مصطلحات موضوعية: Privacy-preserving, Federated learning, Transfer learning, PV power forecasting, Wind power forecasting, Deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666546824001046; https://doaj.org/toc/2666-5468

URL الوصول: https://doaj.org/article/468cd55fe6ec48b38d7971aba8414a5b

المؤلفون: Pingping Xie, Yang Liu, Qiuyu Lu, Xu Lin, Yinguo Yang, Xudong Hu

المصدر: Systems Science & Control Engineering, Vol 12, Iss 1 (2024)

مصطلحات موضوعية: Short-term wind power forecasting, deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected network, deep learning, Control engineering systems. Automatic machinery (General), TJ212-225, Systems engineering, TA168

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2164-2583

URL الوصول: https://doaj.org/article/0c438e8a437942648e44527f759410f0

المؤلفون: Zheng Xin, Xingran Liu, Hanyuan Zhang, Qi Wang, Zenghui An, Hongbin Liu

المصدر: Energy Reports, Vol 11, Iss , Pp 97-114 (2024)

مصطلحات موضوعية: Wind power forecasting, Missing data, Multiple imputation, Spatio-temporal feature extraction, Improved convolutional network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484723015652; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/de3c6ac048414594b06fb4d5eb124c50

المؤلفون: Site Mo, Haoxin Wang, Bixiong Li, Zhe Xue, Songhai Fan, Xianggen Liu

المصدر: Energy Reports, Vol 11, Iss , Pp 736-744 (2024)

مصطلحات موضوعية: Renewable energy, Wind power forecasting, Transformer, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484723016220; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/1f1f6127f90942d58eacd424c5a5f43a

المؤلفون: Seblewongale Mezgebu Ayene, Abdulkerim Mohammed Yibre

المصدر: Heliyon, Vol 10, Iss 21, Pp e39579- (2024)

مصطلحات موضوعية: Wind power forecasting, Preprocessing, Renewable energy, Deep learning, Machine learning, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024156101; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/4303d432dbad4578b43151b75ccf4a26

المؤلفون: Hang Zhao, Peidong Xu, Tianlu Gao, Jun Jason Zhang, Jian Xu, David Wenzhong Gao

المصدر: International Journal of Electrical Power & Energy Systems, Vol 160, Iss , Pp 110059- (2024)

مصطلحات موضوعية: Newly built wind farms, Wind power forecasting, Causal inference, Causal feature selection, Transformer, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061524002801; https://doaj.org/toc/0142-0615

URL الوصول: https://doaj.org/article/acef958032e64d8698cc6278e898e97f

المؤلفون: Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, Ying Sun

المصدر: Results in Engineering, Vol 23, Iss , Pp 102504- (2024)

مصطلحات موضوعية: Wind power forecasting, Data-driven, Deep learning, Self-attentive VAE, RNN, Technology

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S259012302400759X; https://doaj.org/toc/2590-1230

URL الوصول: https://doaj.org/article/721e9dd10236449e925de32a119933b1

المؤلفون: Haytham Elmousalami, Aljawharah A. Alnaser, Felix Kin Peng Hui

المصدر: Applied Sciences, Vol 14, Iss 24, p 11918 (2024)

مصطلحات موضوعية: smart wind farm management, smart and zero-carbon cities, real-time AI, urban deep decarbonization, wind power forecasting, sustainability, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/24/11918; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/13c0349b7eee40c0b39287a67124ea7c

المؤلفون: Hartmann, Maximilian, Morozovska, Kateryna, 1992, Laneryd, Tor

المصدر: Electric power systems research. 234

مصطلحات موضوعية: Capacity forecasting, Day-ahead dispatch planning, Dynamic transformer rating, Wind power forecasting

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-349926
https://doi.org/10.1016/j.epsr.2024.110527

المؤلفون: Lefeng Cheng, Linfei Yin

المصدر: Frontiers in Energy Research, Vol 12 (2024)

مصطلحات موضوعية: accurate wind power forecasting, renewable-energy grid connection and consumption, wind turbine parameter optimization, data-driven approach, economic scheduling considering wind power fluctuations, General Works

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2024.1468799/full; https://doaj.org/toc/2296-598X

URL الوصول: https://doaj.org/article/6e20778fb756468dbf44f54e1c12cbfc

المؤلفون: Sulagna Mahata, Piyush Harsh, Vineet Shekher

المصدر: e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100511- (2024)

مصطلحات موضوعية: Wind energy, Wind power forecasting, Artificial neural network, Recurrent neural network, Long Short-Term Memory, Gated Recurrent Unit, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772671124000937; https://doaj.org/toc/2772-6711

URL الوصول: https://doaj.org/article/4aa09620b6314b77879aebe59749c6b6

المؤلفون: Jie ZHENG, Zhewen NIU, Xiaoqing HAN, Wuhui CHEN, Yuxiang WU

المصدر: Taiyuan Ligong Daxue xuebao, Vol 55, Iss 1, Pp 102-110 (2024)

مصطلحات موضوعية: data privacy, horizontal federated learning, long short-term memory, temporal pattern attention, wind power forecasting, Chemical engineering, TP155-156, Materials of engineering and construction. Mechanics of materials, TA401-492, Technology

وصف الملف: electronic resource

Relation: https://tyutjournal.tyut.edu.cn/englishpaper/show-2250.html; https://doaj.org/toc/1007-9432

URL الوصول: https://doaj.org/article/730ce1cff9474c868e52415d53d03b5d

المؤلفون: Junnan Zhang, Hua Fu

المصدر: IEEE Access, Vol 12, Pp 69423-69433 (2024)

مصطلحات موضوعية: Wind power forecasting, dynamic weather identification, nonlinear dimension reduction, long and short-term memory network, variational mode decomposition, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10530880/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/4904ff0a9da2436eaf6fb6778c0942e2

المؤلفون: Peng Liu, Tieyan Zhang, Furui Tian, Yun Teng, Chuang Gu

المصدر: Tehnički Vjesnik, Vol 31, Iss 5, Pp 1485-1493 (2024)

مصطلحات موضوعية: data mining, information fusion, probability distribution fitting, recursive bayesian filtering, wind power forecasting, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://hrcak.srce.hr/file/463026; https://doaj.org/toc/1330-3651; https://doaj.org/toc/1848-6339

URL الوصول: https://doaj.org/article/3bafb072f78447c58f85e9f2853a4bbd

المؤلفون: Muhammad Aslam, Jun-Sung Kim, Jaesung Jung

المصدر: Energy Reports, Vol 9, Iss , Pp 239-251 (2023)

مصطلحات موضوعية: Attention mechanism, Bayesian optimization, Encoder–decoder, LSTM, Renewable energy, Wind power forecasting, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484722025549; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/e11e06c22d904382a0d764d2ada8cd7e

المؤلفون: Bo Gu, Hao Hu, Jian Zhao, Hongtao Zhang, Xinyu Liu

المصدر: Energy Reports, Vol 9, Iss , Pp 807-819 (2023)

مصطلحات موضوعية: Fuzzy C-means clustering, Whale optimization algorithm, Extreme learning machine, Wind power forecasting, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484722025896; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/95af11cbbc394dab92c82b9a390ad038

المؤلفون: Ahmadi, Mehrnaz, Khashei, Mehdi

المصدر: Journal of Modelling in Management, 2022, Vol. 18, Issue 5, pp. 1620-1634.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/JM2-04-2021-0092