A comprehensive wind speed prediction system based on Monte Carlo and artificial intelligence algorithms

被引：0
|
作者：
Zhang, Yagang [1 ,2 ]
Zhao, Yunpeng [1 ]
Shen, Xiaoyu [1 ]
Zhang, Jinghui [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing,102206, China
[2] Interdisciplinary Mathematics Institute, University of South Carolina, Columbia,SC,29208, United States
来源：
Applied Energy | 2022年 / 305卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Forecasting - Wind power - Monte Carlo methods - Safety engineering - Speed - Data handling - Losses
引用
收藏
相关论文
共 50 条
  • [21] Artificial intelligence-based inventory management: a Monte Carlo tree search approach
    Preil, Deniz
    Krapp, Michael
    ANNALS OF OPERATIONS RESEARCH, 2022, 308 (1-2) : 415 - 439
  • [22] Cognitive Artificial Intelligence Using Bayesian Computing Based on Hybrid Monte Carlo Algorithm
    Park, Sangsung
    Jun, Sunghae
    APPLIED SCIENCES-BASEL, 2022, 12 (18):
  • [23] Artificial intelligence-based inventory management: a Monte Carlo tree search approach
    Deniz Preil
    Michael Krapp
    Annals of Operations Research, 2022, 308 : 415 - 439
  • [24] Artificial intelligence-based traffic flow prediction: a comprehensive review
    Sayed A. Sayed
    Yasser Abdel-Hamid
    Hesham Ahmed Hefny
    Journal of Electrical Systems and Information Technology, 10 (1)
  • [25] A basketball game prediction system based on artificial intelligence
    Chen, Meihong
    Su, Fuzhi
    JOURNAL OF SUPERCOMPUTING, 2022, 78 (10): : 12528 - 12552
  • [26] A basketball game prediction system based on artificial intelligence
    Meihong Chen
    Fuzhi Su
    The Journal of Supercomputing, 2022, 78 : 12528 - 12552
  • [27] Multiclass SVM Algorithms for Wind Speed Prediction
    Wani, M. Arif
    Bhat, Heena Farooq
    2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2017, : 1135 - 1139
  • [28] Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
    Binh Thai Pham
    Manh Duc Nguyen
    Dong Van Dao
    Prakash, Indra
    Hai-Bang Ly
    Tien-Thinh Le
    Lanh Si Ho
    Kien Trung Nguyen
    Trinh Quoc Ngo
    Vu Hoang
    Le Hoang Son
    Huong Thanh Thi Ngo
    Hieu Trung Tran
    Ngoc Minh Do
    Hiep Van Le
    Huu Loc Ho
    Dieu Tien Bui
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 679 : 172 - 184
  • [29] A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction
    Tao, Hai
    Salih, Sinan Q.
    Saggi, Mandeep Kaur
    Dodangeh, Esmaeel
    Voyant, Cyril
    Al-Ansari, Nadhir
    Yaseen, Zaher Mundher
    Shahid, Shamsuddin
    IEEE ACCESS, 2020, 8 : 83347 - 83358
  • [30] A comprehensive wind speed prediction system based on intelligent optimized deep neural network and error analysis
    Zhang, Yagang
    Kong, Xue
    Wang, Jingchao
    Wang, Siqi
    Zhao, Zheng
    Wang, Fei
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 128
12345