منابع مشابه
Autoencoder for wind power prediction
Successful integration of renewable energy sources like wind power into smart grids largely depends on accurate prediction of power from these intermittent sources. Production of wind power cannot be controlled as the wind speed can vary based on weather conditions. Accurate prediction of wind power can assist smart grid that intelligently decides on the usage of alternative power sources based...
متن کاملWind Power Prediction Models
This report describes investigations performed for the prediction of the power available from the wind at the Goldstone, California, antenna site complex. The background for power prediction is derived from a statistical evaluation of available wind speed data records at this location and at nearby locations similarly situated within the Mojave Desert. In addition to a model for power predictio...
متن کاملWind Power Prediction Models
This report describes investigations performed for the prediction of the power available from the wind at the Goldstone, California, antenna site complex. The background for power prediction is derived from a statistical evaluation of available wind speed data records at this location and at nearby locations similarly situated within the Mojave Desert. In addition to a model for power predictio...
متن کاملReference wind farm selection for regional wind power prediction models
Short-term wind power forecasting is recognized today as a major requirement for a secure and economic integration of wind generation in power systems. This paper deals with the case of regional forecasting of wind power with a large number of wind farms involved. Due to the large amount of potentially available information and also because part of the wind farms may not be "observable", foreca...
متن کاملWind-tunnel Prediction of Wind Power Production in Complex Terrain
An atmospheric boundary layer wind tunnel was used to survey the variation in local wind conditions over a region of the Altamont Pass, California, containing two wind farms. Meteorological data combined with the wind tunnel results were used to predict the power output of the wind farms every half hour over a oneyear period from July 2001 to June 2002. It was observed that the power production...
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ژورنال
عنوان ژورنال: Renewables: Wind, Water, and Solar
سال: 2017
ISSN: 2198-994X
DOI: 10.1186/s40807-017-0044-x