Application of stacked and bidirectional long short-term memory deep learning models for wind speed forecasting at an offshore site
| Autor: | Sanjeev Mishra, Bharat Kumar Saxena, K. V. S. Rao |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Wind power
Renewable Energy Sustainability and the Environment business.industry Deep learning Energy Engineering and Power Technology Wind speed Long short term memory Offshore wind power Fuel Technology Nuclear Energy and Engineering Work (electrical) Submarine pipeline Artificial intelligence business Geology Marine engineering |
| Zdroj: | Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. :1-16 |
| ISSN: | 1556-7230 1556-7036 |
| DOI: | 10.1080/15567036.2021.1925379 |
| Popis: | Very short-term offshore wind speed forecasting by application of Stacked long short-term memory (LSTM) and Bidirectional LSTM deep learning models is done in this work. Wind speed data of two diff... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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