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Konstantinos Oikonomou

Biographic Data

ID4457946
NAMEKonstantinos Oikonomou
GIVEN NAMESKonstantinos
FAMILY NAMEOikonomou
SIGNATUREOIKONOMOU K
AFFILIATIONSPacific Northwest National Laboratory
ORCID0000-0003-1093-7051
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Forecasting base metals prices with foundation models

    Open Access•Konstantinos Oikonomou, Alexandros Tsioutsios et al.•ARTICLE•Mineral Economics•2026

    Given the importance of base metals prices for mining companies and producing countries, price forecasting tools are essential for sound decision-making and risk management. This study empirically investigates the performance of two newly proposed foundation models, namely MOIRAI and Chronos, in forecasting base metals prices by comparing their performance to the performance of traditional econometric (i.e., Naïve and ARIMA), and machine learning…

  • Energy-water interdependencies across the three major United States electric grids: A multi-sectoral analysis

    Open Access•Kendall Mongird, Jennie S Rice et al.•ARTICLE•Utilities Policy•2023

    As climate change impacts become increasingly severe, it is critical to have a comprehensive understanding of interactions between climate, energy, and water. Previous energy-water nexus studies have focused primarily on specific dependencies, such as water for thermoelectric cooling, rather than the potential for cascading impacts of supply disruptions at broader scales. This paper explores relative energy-water interdependencies across multiple…

  • Evaluating power grid model hydropower feasibility with a river operations model

    Open Access•Timothy Magee, Sean Turner et al.•ARTICLE•Environmental Research Letters•2022

    Production cost models (PCMs) simulate dispatch of generators across a large power grid and are used widely by planners to study the reliability of electricity supply. As energy systems transition away from the thermoelectric technologies that have traditionally balanced electricity supply and demand, hydropower and its representation in PCMs is of increasing importance. A limitation of PCMs applied to continental power grids with diverse generat…

No prominent works on this page.

  • Evaluating power grid model hydropower feasibility with a river operations model

    Open Access•Timothy Magee, Sean Turner et al.•ARTICLE•Environmental Research Letters•2022

    Production cost models (PCMs) simulate dispatch of generators across a large power grid and are used widely by planners to study the reliability of electricity supply. As energy systems transition away from the thermoelectric technologies that have traditionally balanced electricity supply and demand, hydropower and its representation in PCMs is of increasing importance. A limitation of PCMs applied to continental power grids with diverse generat…

  • Energy-water interdependencies across the three major United States electric grids: A multi-sectoral analysis

    Open Access•Kendall Mongird, Jennie S Rice et al.•ARTICLE•Utilities Policy•2023

    As climate change impacts become increasingly severe, it is critical to have a comprehensive understanding of interactions between climate, energy, and water. Previous energy-water nexus studies have focused primarily on specific dependencies, such as water for thermoelectric cooling, rather than the potential for cascading impacts of supply disruptions at broader scales. This paper explores relative energy-water interdependencies across multiple…

  • Forecasting base metals prices with foundation models

    Open Access•Konstantinos Oikonomou, Alexandros Tsioutsios et al.•ARTICLE•Mineral Economics•2026

    Given the importance of base metals prices for mining companies and producing countries, price forecasting tools are essential for sound decision-making and risk management. This study empirically investigates the performance of two newly proposed foundation models, namely MOIRAI and Chronos, in forecasting base metals prices by comparing their performance to the performance of traditional econometric (i.e., Naïve and ARIMA), and machine learning…

Computer Science (2 works) · Engineering (2 works) · Environmental Science (2 works) · Water-Energy-Food Nexus Studies (2 works) · Business (1 works) · Civil engineering (1 works) · Climate change (1 works) · Commodity (1 works) · Econometric model (1 works) · Economic forecasting (1 works)

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