From the 1 of 4 linked papers with an AI index.
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Connecting Representative Periods in Energy System Optimization Models using Markov Transition Matrices
Felix C. A. Auer, Robert Gaugl, Thomas Klatzer +2
The paper introduces a method that uses Markov transition matrices to probabilistically link representative periods in energy system optimization models, improving the accuracy of…
Hull Clustering with Blended Representative Periods for Energy System Optimization Models
Grigory Neustroev, Diego A. Tejada-Arango, German Morales-Espana +1
The growing integration of renewable energy sources into power systems requires planning models to account for not only demand variability but also fluctuations in renewable availa…
Discounting Approaches in Multi-Year Investment Modelling for Energy Systems
Ni Wang, Diego A. Tejada-Arango
This paper reviews discounting approaches for modeling multi-year energy investments, focusing on total versus annualised cost formulations. We discuss how time value of money is h…