{"id":"W2074970254","doi":"10.1109/tie.2014.2311414","title":"Zero Oscillation and Irradiance Slope Tracking for Photovoltaic MPPT","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Maximum power point tracking; Control theory (sociology); Photovoltaic system; Irradiance; Perturbation (astronomy); Maximum power principle; Transient (computer programming); Robustness (evolution); Computer science; Steady state (chemistry); Solar irradiance; Oscillation (cell signaling); Input shaping; Engineering; Physics; Artificial intelligence; Control (management); Voltage","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":[0.0005037521,0.0002695499,0.0003323646,0.0002424699,0.0003694754,0.0001017859,0.0001625125,0.0004300794,0.00005536106],"category_scores_gemma":[0.00007834235,0.0002931445,0.0001198449,0.0004075377,0.00005865119,0.0002674451,9.816291e-7,0.0004339079,0.00001094585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287678,"about_ca_system_score_gemma":0.000154218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003011981,"about_ca_topic_score_gemma":0.0004478598,"domain_scores_codex":[0.9982169,0.000134278,0.0004643736,0.0004521164,0.0002467597,0.0004856099],"domain_scores_gemma":[0.9988759,0.0003415647,0.000182124,0.0003336895,0.000143787,0.0001229299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00113229,0.0003236151,0.00006687466,0.00007886635,0.0002907073,0.000001301943,0.0004982331,0.2467845,0.1547428,0.01158981,0.004338506,0.5801525],"study_design_scores_gemma":[0.003748329,0.001118054,0.00001337979,0.0001139542,0.0001305532,0.00002399799,0.00003100593,0.1262082,0.672944,0.004114828,0.1908626,0.0006911712],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01944327,0.00008290711,0.9767669,0.0001358844,0.000729166,0.001036276,0.00003206369,0.000497445,0.001276045],"genre_scores_gemma":[0.9959922,0.0001562101,0.002346946,0.0001909732,0.0002482721,0.0003476638,0.00001541329,0.0000759445,0.0006263311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.976549,"threshold_uncertainty_score":0.9999521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323471588168868,"score_gpt":0.2551191033018186,"score_spread":0.2218843874201299,"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."}}