articleTop 1% cited
Assessment of forecasting techniques for solar power production with no exogenous inputs
Solar Energy · 2012 · Vol. 86(7) · pp. 2017–2028
Hugo T.C. Pedro(Jacobs (United States))Carlos F.M. Coimbra✉(Jacobs (United States))
Solar Radiation and PhotovoltaicsEnergy Load and Power ForecastingPhotovoltaic System Optimization TechniquesAutoregressive integrated moving averageMean absolute percentage errorArtificial neural networkPhotovoltaic systemMeteorologyComputer sciencePower (physics)StatisticsSolar powerEnvironmental science
Funding
- National Science Foundation
- Community Foundation for Muskegon County
- California Energy Commission
- University of California Merced
Citations
600
FWCI
41.47
field-weighted impact
References
26
Percentile
100%
vs. same field & year
Citations per year
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References
Online 24-h solar power forecasting based on weather type classification using artificial neural network
Solar Energy · 2011 · 603 citations
Predicting solar radiation at high resolutions: A comparison of time series forecasts
Solar Energy · 2008 · 628 citations
A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy
Solar Energy · 2010 · 877 citations
Online short-term solar power forecasting
Solar Energy · 2009 · 794 citations
Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed
Solar Energy · 2011 · 578 citations
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