Litcius/Paper detail

Artificial intelligence-based optimization of a giga-scale bifacial photovoltaic power plant using partitioned random vector reinforcement learning and Eurasian-Lynx optimization

Mohamed E. Zayed, Shafiqur Rehman, Hassan Z. Al Garni, Farouq Al-omari, Kashif Irshad, Mohamed Mohandes, Atif Saeed Alzahrani, Kotb M. Kotb

2025Process Safety and Environmental Protection10 citationsDOI

Topics & Concepts

Photovoltaic systemComputer scienceRobustness (evolution)Curse of dimensionalitySolar irradianceMultivariate adaptive regression splinesHyperparameterMachine learningAdaptabilitySupport vector machineRandom forestArtificial intelligenceRobust optimizationElectric power systemOptimization problemStatistical modelSolar powerMars Exploration ProgramKrigingPower (physics)Data miningFeature selectionModel selectionMultivariate random variableSolar energyStatistical powerMathematical optimizationHyperparameter optimizationDimensionality reductionMultivariate statisticsPower optimizationGlobal optimizationSelection (genetic algorithm)AlgorithmRegressionRegression analysisData modelingSolar Radiation and PhotovoltaicsPhotovoltaic System Optimization TechniquesSolar Thermal and Photovoltaic Systems
Artificial intelligence-based optimization of a giga-scale bifacial photovoltaic power plant using partitioned random vector reinforcement learning and Eurasian-Lynx optimization | Litcius