reviewTop 1% cited
A review on the forecasting of wind speed and generated power
Renewable and Sustainable Energy Reviews · 2008 · Vol. 13(4) · pp. 915–920
Lei Ma✉(Shanghai Jiao Tong University)Luan Shiyan(Shanghai Jiao Tong University)Chuanwen Jiang(Shanghai Jiao Tong University)Hongling Liu(Shanghai Jiao Tong University)Yan Zhang(Shanghai Jiao Tong University)
Energy Load and Power ForecastingElectric Power System OptimizationSmart Grid and Power SystemsWind power forecastingWind powerWind speedPower (physics)Electric power systemEngineeringMeteorologyElectricity generationIndustrial engineeringOperations research
Citations
1,147
FWCI
26.40
field-weighted impact
References
33
Percentile
100%
vs. same field & year
Citations per year
Cited by
Recent progress in the use of renewable energy sources to power water desalination plants
Desalination · 2017 · 620 citations
Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
Renewable Energy · 2019 · 600 citations
Wind power prediction using deep neural network based meta regression and transfer learning
Applied Soft Computing · 2017 · 367 citations
Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine
IEEE Transactions on Power Systems · 2013 · 739 citations
ARMA based approaches for forecasting the tuple of wind speed and direction
Applied Energy · 2010 · 892 citations
On comparing three artificial neural networks for wind speed forecasting
Applied Energy · 2010 · 698 citations
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Applied Soft Computing · 2020 · 579 citations
A review of wind speed and wind power forecasting with deep neural networks
Applied Energy · 2021 · 851 citations
References
Forecast of hourly average wind speed with ARMA models in Navarre (Spain)
Solar Energy · 2004 · 650 citations
Support vector machines for wind speed prediction
Renewable Energy · 2004 · 743 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.