Confidence interval of wind power generation hours

A novel wind power deterministic and interval prediction framework

In this study we have designed a hybrid prediction framework for both deterministic and interval prediction. Initially, the original wind power data undergo cleaning using the quartile method and the fuzzy C

Analysis of confidence intervals for the prediction of regional wind

Based on the respective values and with respect to the non gaussian nature of the distribution of the forecast errors, a procedure to determine confidence intervals for the expected actual...

Optimal Prediction Intervals of Wind Power Generation

This paper proposes a novel hybrid intelligent algorithm approach to directly formulate optimal prediction intervals of wind power generation based on extreme learning machine and particle swarm

Computation of prediction intervals of wind energy based on the EWMA

An exhaustive analysis was performed using Spanish wind power generation data by testing the accuracy of the point-aggregated forecasts and the reliability of the prediction intervals and by checking the

Wind Power Interval Forecasting Based on Confidence Interval

In this paper, a general method is proposed to determine the optimal interval forecast of wind power. Firstly, the distribution of the point forecast error is found by using the non-parametric Parzen window

Confidence Intervals for Annual Wind Power Production

Since confidence intervals can be enhanced by taking into account seasonality, we present some tools for change point analysis on wind series.

Multi-Objective Estimation of Optimal Prediction Intervals for Wind

This article proposes a novel multi-objective lower upper bound estimation method to directly construct optimal wind power intervals without the assumption of any specific distribution function.

A Wind Power Forecasting Method and Its Confidence Interval

This paper describes a wind power forecasting method and its confidence interval estimation. Recently, flat control of wind power generators using various batter- ies has been required.

Confidence intervals for annual wind power production

Here we have considered structural uncertainties arising from wind randomness, and identified speed correlations within 48 hours, as an important factor of variability for the annual power produced by turbines.

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