Wind power generationWind forecastingForecastingPower measurementPredictive modelsNeuronsRadial basis function networksThe importance of short-term wind power forecasting is significantly increased because of the demand of green energy and large-scale integration of the wind power plants in the electric ...
pairs bootstrap is developed. Wind power forecasting has been conducted in different seasons using the proposed approach with the historical wind power time series as the inputs alone. The results demonstrate that the proposed method is effective for probabilistic forecasting of wind power generation ...
Wind power is a potential alternative to the conventional energy technology. However, the biggest challenge in integrating wind power into the electric grid is its intermittency. One approach to deal with wind intermittency is forecasting future values of wind power production. Here, statistical method...
However, due to the nonstationarity of wind power series, traditional point forecasting can hardly be accurate, leading to increased uncertainties and risks for system operation. This paper proposes an extreme learning machine (ELM)-based probabilistic forecasting method for wind power generation. To ...
Wind power generation differs from conventional thermal generation due to the stochastic nature of wind. Thus wind power forecasting plays a key role in dealing with the challenges of balancing supply and demand in any electricity system, given the uncertainty associated with the wind farm power outp...
Short-Term Wind Power Generation Forecasting: Direct Versus Indirect Arima-Based Approaches International Journal of Green EnergySHI J; QU X L; ZENG S T.Short-term wind power generation forecasting: direct versus indirect ARIMA-based approaches... S Jing,X Qu,S Zeng - 《International Journal of...
Without a shadow of doubt, wind power is expected to maintain rapid growth for a long time to come. However, one of the main obstacles to wind power generation is that the uncertainty of the wind regeneration process gives rise to the unschedulability and randomness of wind plant production ...
In the world, wind power is rapidly becoming a generation technology of significance. Unpredictability and variability of wind power generation is one of the fundamental difficulties faced by power system operators. Good forecasting tools are urgent needed under the relevant issues associated with the ...
It is important to note that the generated power of renewable sources depends on the natural conditions at a particular geographic point, the level of wind flow speeds and solar radiation. The patterns characterizing these parameters depend on the time of year, locality and are purely probabilistic...
For a nonlinear and bounded process such as wind power generation, wind power probability distributions can be strongly skewed. For this reason point forecasts can result very close to wind power minimum or maximum values: (i) intervals (32) could not include the point forecast itself; (ii) ...