A composite framework for photovoltaic day-ahead power prediction based on dual clustering of dynamic time warping distance and deep autoencoder
Mao Yang, Meng Zhao, Dawei Huang, Xin Su
Topics & Concepts
AutoencoderCluster analysisComputer scienceDynamic time warpingPhotovoltaic systemArtificial intelligencePattern recognition (psychology)Data miningArtificial neural networkEngineeringElectrical engineeringSolar Radiation and PhotovoltaicsEnergy Load and Power ForecastingPhotovoltaic System Optimization Techniques