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This paper presents a multistage multiscale linear stochastic model for optimizing electricity generation, storage, and transmission investments over a long planning horizon, accounting for both large-scale and small-scale uncertainties. The model utilizes a progressive hedging algorithm to manage computational complexity and is demonstrated through a case study in Texas, showing its effectiveness in capturing the impact of uncertainties on investment decisions. The proposed framework allows for detailed re

Author

D sir

Language

EN