DATA DRIVEN ROBUST ENERGY AND RESERVE DISPATCH BASED ON A NONPARAMETRIC DIRICHLET PROCESS GAUSSIAN MIXTURE MODEL

Data Driven Robust Energy and Reserve Dispatch Based on a Nonparametric Dirichlet Process Gaussian Mixture Model

Traditional robust optimization methods use box uncertainty sets or gamma uncertainty sets to describe wind power uncertainty.However, these uncertainty sets fail to utilize wind forecast error OREGANO 1:3 probability information and assume that the wind forecast error is symmetrical and independent.This assumption is not reasonable and makes the o

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