Robust Forecasting of Levelized Cost of Energy Based on a Novel Approach of Uncertain Energy Portfolio Optimization

Abstract excerpt

During the past few years, energy management has become a vital part of the agendas of almost all governments due to its impact on human life. There are some turbulent incidents such as the Covid-19 and the Russia-Ukraine war under different scenarios, influencing the countries’ energy policy and the consumption of the world’s energy resources. To handle uncertainties, there is an urgent need to utilize a robust m...

Topics

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• Algorithms
• Computer Simulation
• Machine Learning
• Models, Theoretical
• Mutation
• Neural Networks, Computer

Identifiers and source

Literature Corpus work

479c7402-9ebd-5a3e-a791-731f3867f026

DOI

10.2139/ssrn.4376411