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1Academic Journal
المؤلفون: Chao Tang, Yufeng Zhang, Fan Wu, Zhuo Tang
المصدر: Energies, Vol 17, Iss 10, p 2312 (2024)
مصطلحات موضوعية: artificial intelligence, CNN-BILSTM model, power load prediction, uncertain power systems, Technology
Relation: https://www.mdpi.com/1996-1073/17/10/2312; https://doaj.org/toc/1996-1073; https://doaj.org/article/6e7aec5afaa5448bb4d7cac1cbf2fa4e
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2Academic Journal
المصدر: Energy Reports, Vol 8, Iss , Pp 239-249 (2022)
مصطلحات موضوعية: Multi-task learning, Long and short-term memory network, Power load prediction, Correlation characteristics, Industry chain, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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3Academic Journal
المؤلفون: Qiu Sun, Huafeng Cai
المصدر: IEEE Access, Vol 10, Pp 102396-102405 (2022)
مصطلحات موضوعية: Power load prediction, variational mode decomposition, intrinsic mode function, S-G filtering, long short-term memory network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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4Academic Journal
المؤلفون: Hui Liu, Guo Zhou, Yongquan Zhou, Huajuan Huang, Xiuxi Wei
المصدر: Frontiers in Neuroinformatics, Vol 16 (2023)
مصطلحات موضوعية: improved black widow optimization algorithm, radial basis function neural networks, classification and regression, power load prediction, metaheuristic, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
وصف الملف: electronic resource
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5Academic Journal
المؤلفون: Xiao Xiong, Zengyong Xu, Yuxia Yuan
المصدر: Journal of Applied Science and Engineering, Vol 25, Iss 1, Pp 19-30 (2021)
مصطلحات موضوعية: power load prediction, grey correlation, random forest, particle swarm optimization, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Physics, QC1-999
وصف الملف: electronic resource
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6Academic Journal
المؤلفون: Xue-Bo Jin, Wei-Zhen Zheng, Jian-Lei Kong, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Seng Lin
المصدر: Energies; Volume 14; Issue 6; Pages: 1596
مصطلحات موضوعية: electric power load prediction, deep-learning encoder-decoder framework, gated recurrent neural units, temporal attention, Bayesian optimization
وصف الملف: application/pdf
Relation: F5: Artificial Intelligence and Smart Energy; https://dx.doi.org/10.3390/en14061596
الاتاحة: https://doi.org/10.3390/en14061596
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7Academic Journal
المؤلفون: Martin Cenek, Rocco Haro, Brandon Sayers, Jifeng Peng
المصدر: Applied Sciences; Volume 8; Issue 5; Pages: 749
مصطلحات موضوعية: power load prediction, long short term memory, neural networks, power management systems
جغرافية الموضوع: agris
وصف الملف: application/pdf
Relation: Energy Science and Technology; https://dx.doi.org/10.3390/app8050749
الاتاحة: https://doi.org/10.3390/app8050749
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8
المؤلفون: Wei-Zhen Zheng, Seng Lin, Xiaoyi Wang, Jian-Lei Kong, Yuting Bai, Tingli Su, Xue-Bo Jin
المصدر: Energies, Vol 14, Iss 1596, p 1596 (2021)
Energies; Volume 14; Issue 6; Pages: 1596مصطلحات موضوعية: Control and Optimization, Electrical load, Computer science, 020209 energy, Energy Engineering and Power Technology, 02 engineering and technology, lcsh:Technology, Data modeling, Electric power system, Robustness (computer science), electric power load prediction, deep-learning encoder-decoder framework, gated recurrent neural units, temporal attention, Bayesian optimization, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Engineering (miscellaneous), Renewable Energy, Sustainability and the Environment, business.industry, lcsh:T, Deep learning, Reliability engineering, Recurrent neural network, 020201 artificial intelligence & image processing, Artificial intelligence, Electric power, business, Energy (miscellaneous)
وصف الملف: application/pdf
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9Academic Journal
المؤلفون: Alden, Rosemary E., Gong, Huangjie, Ababei, Cristinel, Ionel, Dan M.
المصدر: Power and Energy Institute of Kentucky Faculty Publications
مصطلحات موضوعية: Temperature measurement, Uncertainty, Substations, Lighting, Predictive models, Data models, Standards, residential power load model, power load prediction, machine learning, LSTM, Power and Energy
وصف الملف: application/pdf
Relation: https://uknowledge.uky.edu/peik_facpub/63; https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1063&context=peik_facpub
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10Electronic Resource
المؤلفون: Hu, Sile, Cai, Wenbin, Liu, Jun, Shi, Hao, Yu, Jiawei
المصدر: Journal of computing and information technology; ISSN 1330-1136 (Print); ISSN 1846-3908 (Online); Volume 31; Issue 3
مصطلحات الفهرس: Genetic Algorithm; BP Neural Network; Short Term Power Load; Prediction Model, text, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion
URL:
https://hrcak.srce.hr/317265 https://hrcak.srce.hr/file/458452
info:eu-repo/semantics/altIdentifier/doi/10.20532/cit.2023.1005730