paper
2020
Applications & impacts
Local & station forecasting Application study
RNN / LSTM / ConvLSTM3–15 days Journal
2020-06-16
008
Jun 2020
Ravi Pandit, Athanasios Kolios, David G. Infield
IET Renewable Power Generation
LSTM and Markov chain models forecast offshore wind and wave conditions from FINO3 station measurements to support turbine maintenance planning; the study compares the two models.
Data‐driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance
In one sentence. LSTM and Markov chain models forecast offshore wind and wave conditions from FINO3 station measurements to support turbine maintenance planning; the study compares the two models.
Labels
- Topic
- Applications & impacts, Local & station forecasting
- Type
- Application study
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 3–15 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1049/iet-rpg.2019.0941 OpenAlex:W3036573057
- Added
- 2026-10-22
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