المؤلفون: SONG Jiakang, ZHAO Jianyong, SUN Haixia, WANG Hualei, NIAN Heng, ZHANG Sen

المصدر: 电力工程技术, Vol 42, Iss 6, Pp 232-240 (2023)

مصطلحات موضوعية: wind power forecasting, numerical weather predicition (nwp) implicit correction, neural networks, improvement algorithm, multi-objective collaborative training, two-step forecasting method, Applications of electric power, TK4001-4102

وصف الملف: electronic resource

Relation: https://www.epet-info.com/dlgcjsen/article/abstract/221205704; https://doaj.org/toc/2096-3203

URL الوصول: https://doaj.org/article/d38520aa4da94426bb553233a3bc3edf

المؤلفون: Qu, Guanglei, Zheng, Mulian, Lu, Chuan, Song, Jiakang, Dong, Dazhi, Yuan, Yueming

المصدر: Journal of Cleaner Production ; volume 486, page 144492 ; ISSN 0959-6526

الاتاحة: https://doi.org/10.1016/j.jclepro.2024.144492
https://api.elsevier.com/content/article/PII:S0959652624039416?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0959652624039416?httpAccept=text/plain

المؤلفون: Xu, Qingchao, Bao, Zhenhao, Lu, Tu, Gao, Huarui, Song, Jiakang

المساهمون: Garcea, Giovanni

المصدر: Advances in Civil Engineering ; volume 2021, issue 1 ; ISSN 1687-8086 1687-8094

الاتاحة: http://dx.doi.org/10.1155/2021/5593639
http://downloads.hindawi.com/journals/ace/2021/5593639.pdf
http://downloads.hindawi.com/journals/ace/2021/5593639.xml
https://onlinelibrary.wiley.com/doi/pdf/10.1155/2021/5593639

المؤلفون: Fu, Xiangyun, Song, Jiakang, Yue, Fuchang, Li, Hong, Li, Guangxi, Liu, Han

المصدر: 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

الاتاحة: http://dx.doi.org/10.1109/icpsasia58343.2023.10294760
http://xplorestaging.ieee.org/ielx7/10294329/10294332/10294760.pdf?arnumber=10294760

المؤلفون: Wang, Shujian, Wang, Yuanhao, Song, Jiakang, Gu, Haiyan, Yang, Zijian

المصدر: CICTP 2023 ; page 301-309

الاتاحة: http://dx.doi.org/10.1061/9780784485040.030
https://ascelibrary.org/doi/pdf/10.1061/9780784485040.030

المؤلفون: Chen, Jianxun, Xu, Zilong, Luo, Yanbin, Song, Jiakang, Liu, Weiwei, Dong, Fangfang

المساهمون: Zhang, Chunshun, National Natural Science Foundation of China, China Postdoctoral Science Foundation

المصدر: Advances in Civil Engineering ; volume 2020, issue 1 ; ISSN 1687-8086 1687-8094

الاتاحة: http://dx.doi.org/10.1155/2020/8826232
http://downloads.hindawi.com/journals/ace/2020/8826232.pdf
http://downloads.hindawi.com/journals/ace/2020/8826232.xml
https://onlinelibrary.wiley.com/doi/pdf/10.1155/2020/8826232

المؤلفون: Song Jiakang, Hu Mingli

المصدر: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0dd88a3a6d9d8611979ed02d880fddff
https://doi.org/10.1109/smc52423.2021.9658817

المؤلفون: Peng Yonggang, Song Jiakang, Xia Yanghong

المصدر: 2018 37th Chinese Control Conference (CCC).

مصطلحات موضوعية: Computer science, Robustness (computer science), 020209 energy, Feature extraction, 0202 electrical engineering, electronic engineering, information engineering, Wind power forecasting, 02 engineering and technology, Data mining, Cluster analysis, computer.software_genre, Numerical weather prediction, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::02cd9568fa03aae4b75a1c5a3176c00a
https://doi.org/10.23919/chicc.2018.8482674

المؤلفون: Zhendong, Liu, Zhang, Jinchao, Liu, Zhendong, Song, Jiakang, Shu, Senbiao, Xing, Shuyuan, Li, Liang, Xue, Bei, Liu, Yan, Shan, Yuanyuan, Wang, Wenhan

الاتاحة: http://dx.doi.org/10.2139/ssrn.4562226

المؤلفون: Wang, Kejun, Qi, Xiaoxia, Liu, Hongda, Song, Jiakang

المساهمون: Nature Science Foundation of China, Nature Science Foundation of Heilongjiang Province and Harbin, Fundamental Research Funds for the Central Universities

المصدر: Energy ; volume 165, page 840-852 ; ISSN 0360-5442

الاتاحة: http://dx.doi.org/10.1016/j.energy.2018.09.118
https://api.elsevier.com/content/article/PII:S0360544218318826?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0360544218318826?httpAccept=text/plain

المؤلفون: Wang, Kejun, Qi, Xiaoxia, Liu, Hongda, Song, Jiakang

Relation: http://www.sciencedirect.com/science/article/pii/S0360544218318826

الاتاحة: http://www.sciencedirect.com/science/article/pii/S0360544218318826