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Wind power is one of the most popular renewables and occupies a great proportion in the total capacity of the grid system. Secure operations of the grid system such as scheduling and dispatching dependent much on the prediction accuracy of power generation. This paper reviews wind power forecasting methods in multi-spatial scales and multi-temporal scales. In different spatial scales, methods for...
Short-term wind power forecasting is based on modelling the complex relationship between the weather forecasts and wind farm power production. To date, efforts to improve wind power forecasts have focused on improving Numerical Weather Prediction and wind farm power curve models. However, utility-scale wind farms cover large areas meaning that a single power curve model may struggle to represent the...
This paper proposes an ANFIS based approach for one-day-ahead hourly wind power generation prediction. The increasing penetration of wind energy to electric power generation systems imposes important issues to address resulting from its intermittent and uncertain nature. These challenges necessitate an accurate wind power generation forecasting tool for planning efficient operation of power systems...
In recent years, rapid growth of the wind power all around the world highlights the requirement of developing accurate wind power forecasting method. Since the wind power generation mainly relies on wind speed and wind turbine condition, a novel wind power forecasting strategy considering wind turbine condition is proposed in this paper. The proposed strategy which can predict several-hours-ahead...
This paper presents a comparison of data mining techniques for wind power forecasting in a time frame out to 15 minutes ahead. The forecasting is focused on the power generated by the wind farms and the power changes are predicted by using multivariate time series models ARMA, focus time-delay neural network (FTDNN) and a phenomenological model of the turbines. All these models are tested with real...
As the penetration of wind energy continues to increase around the world, with a trend towards large utility-scale wind farms (greater than 100 MW), effective wind energy forecasting will become increasingly important. Previous work by GH has estimated the trading benefit of high quality short-term forecasting to be euro7/MWh. Depending on market conditions, for a 100 MW wind farm with a capacity...
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