Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics | Zendy

Noman Shabbir | Zendy; Lauri K黷t | Zendy; Muhammad Jawad | Zendy; Oleksandr Husev | Zendy; Ateeq Ur Rehman | Zendy; Akber Abid Gardezi | Zendy; Muhammad Shafiq | Zendy; Jin-Ghoo Choi | Zendy

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Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics

Author(s) -

Noman Shabbir,

Lauri K黷t,

Muhammad Jawad,

Oleksandr Husev,

Ateeq Ur Rehman,

Akber Abid Gardezi,

Muhammad Shafiq,

Jin-Ghoo Choi

Publication year - 2022

Publication title -

computers, materials and continua/computers, materials and continua (print)

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.788

H-Index - 40

eISSN - 1546-2226

pISSN - 1546-2218

DOI - 10.32604/cmc.2022.024576

Subject(s) - wind power forecasting , wind power , computer science , context (archaeology) , artificial intelligence , autoregressive model , artificial neural network , machine learning , big data , term (time) , recurrent neural network , probabilistic forecasting , electric power system , data mining , power (physics) , engineering , econometrics , mathematics , geography , physics , quantum mechanics , probabilistic logic , electrical engineering , archaeology

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