articleTop 1% cited
Day-ahead wind speed forecasting using f-ARIMA models
Renewable Energy · 2008 · Vol. 34(5) · pp. 1388–1393
Rajesh Kavasseri✉(North Dakota State University)Karthika Murugandi Reddiar Seetharaman(North Dakota State University)
Energy Load and Power ForecastingElectric Power System OptimizationWind Energy Research and DevelopmentWind powerAutoregressive integrated moving averageWind speedDispatchable generationMeteorologyWind power forecastingScheduleTurbineElectricityEnvironmental science
Funding
- National Science Foundation
Citations
925
FWCI
15.23
field-weighted impact
References
29
Percentile
99%
vs. same field & year
Citations per year
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References
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Maximum likelihood estimation of stationary univariate fractionally integrated time series models
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ARIMA models to predict next-day electricity prices
IEEE Transactions on Power Systems · 2003 · 1,497 citations
Time Series: Theory and Methods
Technometrics · 1992 · 5,091 citations
Time Series Analysis: Forecasting and Control
Journal of Marketing Research · 1977 · 19,299 citations
Time Series Analysis: Forecasting and Control
Technometrics · 1977 · 2,723 citations
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