{"id":"W4248465127","doi":"10.24018/ejeng.2017.2.5.321","title":"PV Solar-Optimal Maximum Power Search using a Modified P&O Technique","year":2017,"lang":"en","type":"article","venue":"European Journal of Engineering and Technology Research","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Fredericton","funders":"","keywords":"Duty cycle; Maximum power point tracking; Chopper; Photovoltaic system; Maximum power principle; Controller (irrigation); Control theory (sociology); Computer science; AC power; Interface (matter); Power (physics); Inverter; Voltage; Engineering; Electrical engineering; Control (management); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001585774,0.0003736341,0.0004609008,0.0002284649,0.0002425178,0.0004164814,0.0004442838,0.0004635571,0.001411964],"category_scores_gemma":[0.0004783488,0.0002212155,0.0002399283,0.0002501815,0.0002543904,0.0004231853,0.0002727357,0.0004044067,0.0002544524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052122,"about_ca_system_score_gemma":0.000312778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009435329,"about_ca_topic_score_gemma":0.001574713,"domain_scores_codex":[0.9998761,0.00002223232,0.000005871779,0.00002761208,0.00005911196,0.000009030055],"domain_scores_gemma":[0.9999092,0.00003737638,0.00001915953,0.00001055511,0.00001954487,0.000004118019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002985529,0.0001283078,0.0008088897,0.0002225332,0.0000758999,0.0001831658,0.0001856479,0.4679395,0.07288788,0.01613938,0.001971243,0.4391591],"study_design_scores_gemma":[0.00003229414,0.00009657749,0.0002215313,0.000006684195,0.000009758334,0.0000564869,0.000008517697,0.9884742,0.007932983,0.001782803,0.001370869,0.000007162421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01502647,0.0001156763,0.980588,0.00005662145,0.00002414349,0.00003309902,0.00000828446,0.0002784596,0.003869186],"genre_scores_gemma":[0.6985595,0.0001314438,0.2971607,0.00006941007,0.00002582928,0.0001131722,0.00002231729,0.00004813805,0.0038695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001411964,"threshold_uncertainty_score":0.004723549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06522922591584136,"score_gpt":0.326219107918136,"score_spread":0.2609898820022946,"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."}}