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A comparative study on ensemble soft-computing methods for geothermal power production potential forecasting

Raif Kenanoğlu, İlker Mert, Ceyhun Baydar, Özkan Köse, Hüseyin Yağlı

2024Energy10 citationsDOI

Topics & Concepts

Geothermal gradientProduction (economics)Soft computingGeothermal energyGeothermal powerComputer scienceEnvironmental scienceArtificial intelligenceEconomicsGeologyArtificial neural networkGeophysicsMacroeconomicsEnergy Load and Power ForecastingNeural Networks and ApplicationsStock Market Forecasting Methods
A comparative study on ensemble soft-computing methods for geothermal power production potential forecasting | Litcius