This letter proposes a machine learning-based linear programming model that quickly establishes the nonparametric prediction intervals of wind power by integrating extreme learning machine and ...

Confidence intervals. To test for bias, i.e., the equivalence of the compared methods, the 95%-confidence intervals of the estimators from the linear equations, y = b 0 + b 1 x, obtained after the ...

This paper presents an approach to prediction based on a new interval type-2 Atanassov-intuitionistic fuzzy logic system (IT2AIFLS) of the Takagi-Sugeno-Kang fuzzy inference with neural network ...