Power System Portfolio Selection and CO<sub>2</sub> Emission Management Under Uncertainty Driven by a DNN-Based Stochastic Model

Power System Portfolio Selection and CO<sub>2</sub> Emission Management Under Uncertainty Driven by a DNN-Based Stochastic Model

A model is proposed to investigate the effects of power generation source diversification and CO<sub>2</sub> emission control in the presence of dispatchable fossil fuel sources and non-dispatchable carbon-free renewables. In a stochastic environment in which three random factors are con...

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Bibliographic Details
Main Authors: Carlo Mari, Carlo Lucheroni, Nabangshu Sinha, Emiliano Mari
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Mathematics
Subjects:
power system
generation portfolio
deep neural network
CO<sub>2</sub> price volatility
CVaRD
portfolio frontier
Online Access:https://www.mdpi.com/2227-7390/13/9/1477
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