Day-ahead wind speed forecasting using f-ARIMA models
RKRajesh KavasseriKSKrithika Seetharaman
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Abstract
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Citation impact
937
total citations
- FWCI
- 15.26
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- 100%
- References
- 29
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Authors
2- RKRajesh KavasseriCorresponding
North Dakota State University
- KSKrithika Seetharaman
North Dakota State University
Topics & keywords
Topics
Keywords
- Wind power
- Autoregressive integrated moving average
- Wind speed
- Dispatchable generation
- Meteorology
- Wind power forecasting
- Schedule
- Turbine
UN Sustainable Development Goals
- Affordable and clean energy
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