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 probability information and assume that the wind forecast error is symmetrical and independent.This assumption is not reasonable and makes the optimization

read more

A digital PCR approach to assess the purity of oregano

Herbs and spices are food categories known to be at high risk of adulteration.Presence of undeclared foreign plant species has often been reported in oregano and may have a direct impact on its organoleptic quality and potentially the safety of this aromatic herb.A First Aid droplet digital PCR approach was developed to assess the purity of oregano

read more