{"id":"W4376456770","doi":"10.1109/tste.2023.3274939","title":"An Improved PSO-Based MPPT Technique Using Stability and Steady State Analyses Under Partial Shading Conditions","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Maximum power point tracking; Control theory (sociology); Maximum power principle; Photovoltaic system; Steady state (chemistry); Convergence (economics); Stability (learning theory); Power (physics); Voltage; Trajectory; Shading; Computer science; Mathematics; Engineering; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006033371,0.0003990799,0.0004441786,0.001007392,0.0008082517,0.0001931479,0.0002335773,0.0002469898,0.0002916039],"category_scores_gemma":[0.00002260289,0.0004262357,0.0001509358,0.001770223,0.0001999113,0.000686708,0.000005778505,0.0002445366,0.000003798717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006388657,"about_ca_system_score_gemma":0.0003641202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01604138,"about_ca_topic_score_gemma":0.0008907094,"domain_scores_codex":[0.9971524,0.0003750882,0.0006164421,0.0007362445,0.000336722,0.0007830475],"domain_scores_gemma":[0.9980822,0.0002465419,0.0001867421,0.000770293,0.0004392495,0.0002749417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008978601,0.0001993363,0.00001172485,0.0000745022,0.00008138776,0.00003475559,0.0001403245,0.7286679,0.268809,0.001495073,0.00002994013,0.0003663453],"study_design_scores_gemma":[0.0004494451,0.0001809311,0.00001271385,0.00002857717,0.00007061889,0.000009298347,0.002126624,0.3452296,0.6490895,0.002045623,0.0003960272,0.0003610493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1068909,0.00001525299,0.8902227,0.00004853059,0.0001194457,0.0005262986,0.00009763616,0.001733165,0.000345994],"genre_scores_gemma":[0.9953591,0.00002480559,0.00243439,0.0001426074,0.00003360748,0.0009295152,0.00007451011,0.0001107703,0.0008907249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8884681,"threshold_uncertainty_score":0.9998189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04474805521770682,"score_gpt":0.3262589835086157,"score_spread":0.2815109282909089,"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."}}