The Identification of Optimal Co2 Emissions-Trading Strategies Based on an Inexact Two-Stage Chance-Constrained Programming Approach

In this study, an inexact two-stage chance-constrained model was developed for identifying optimal CO2 emissions-trading strategies under uncertainty. The model was formulated through incorporating two-stage and chance-constrained programming approaches within a general interval optimization framework. It can deal with uncertainties expressed as both probability distributions and intervals. A solution method was proposed to solve problems under …