Pareto Optimal Prediction Intervals of Electricity Price
Can Wan, Ming Niu, Yonghua Song, Zhao Xu · IEEE Transactions on Power Systems · 2016
This letter proposes a novel Pareto optimal prediction interval construction approach for electricity price combing extreme learning machine and non-dominated sorting genetic algorithm II (NSGA-II). The Pareto optimal prediction intervals are produced with respect to the formulated two objectives reliability and sharpness. The effectiveness of proposed approach has been verified through the numerical studies on Australia electricity market data.