{"id":"W2012768056","doi":"10.1109/jphotov.2013.2297513","title":"A Maximum Power Point Tracking Method Based on Perturb-and-Observe Combined With Particle Swarm Optimization","year":2014,"lang":"en","type":"article","venue":"IEEE Journal of Photovoltaics","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":393,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Tsing Hua University; University of Toronto","keywords":"Particle swarm optimization; Maximum power point tracking; Convergence (economics); Computer science; Point (geometry); Mathematical optimization; Control theory (sociology); Range (aeronautics); Maximum power principle; Tracking (education); Power (physics); Algorithm; Mathematics; Physics; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507896046928226,"score_gpt":0.2527883741325166,"score_spread":0.2377094136632344,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}