Litcius/Paper detail

Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing

Spyros Theocharides, George Makrides, Andreas Livera, Marios Theristis, Paris Kaimakis, George E. Georghiou

2020Applied Energy205 citationsDOIOpen Access PDF

Topics & Concepts

Photovoltaic systemArtificial neural networkMean absolute percentage errorCluster analysisComputer scienceProbabilistic forecastingMachine learningLinear regressionSolar irradianceArtificial intelligenceData miningEngineeringMeteorologyElectrical engineeringProbabilistic logicPhysicsSolar Radiation and PhotovoltaicsEnergy Load and Power ForecastingPhotovoltaic System Optimization Techniques