{"id":"W3037626125","doi":"10.1109/apec39645.2020.9124297","title":"Fuzzy Logic Based Module-Level Power Electronics for Mitigation of Rapid Cloud Shading in Photovoltaic Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Photovoltaic system; Maximum power point tracking; Computer science; Cloud computing; Controller (irrigation); Voltage; Electronic engineering; Electrical engineering; Control theory (sociology); Automotive engineering; Real-time computing; Engineering; Inverter; Control (management)","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":[0.0001127602,0.0002280079,0.0002155573,0.0001441466,0.0001893307,0.0003462208,0.0004518554,0.0002236621,0.001226719],"category_scores_gemma":[0.0001782145,0.00009613266,0.0001945598,0.0001536145,0.0001078974,0.0001915734,0.0001329367,0.0002273475,0.0001651248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002431788,"about_ca_system_score_gemma":0.0002100122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389391,"about_ca_topic_score_gemma":0.003154135,"domain_scores_codex":[0.9999117,0.00001314372,0.000004796115,0.00001857956,0.00004043044,0.00001138269],"domain_scores_gemma":[0.9999501,0.00001433405,0.00001233607,0.00000462902,0.00001650944,0.000002230946],"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":[0.0001942985,0.0001779346,0.001375116,0.0002315468,0.0000601281,0.0001809747,0.00008747736,0.5169348,0.1926798,0.006229372,0.001434651,0.280414],"study_design_scores_gemma":[0.00002789862,0.0003203895,0.00140959,0.00002264247,0.00003507363,0.00006926602,0.00001711711,0.9633903,0.03055235,0.00149764,0.002643757,0.00001406083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08773081,0.0002984537,0.9019811,0.0001019018,0.00004145324,0.00007658116,0.00005816566,0.000670139,0.009041425],"genre_scores_gemma":[0.9475695,0.00009995334,0.05002582,0.00004679682,0.00001236727,0.00003768904,0.00003354947,0.00001165116,0.002162713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001389391,"threshold_uncertainty_score":0.00410378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03966156333354788,"score_gpt":0.2558714751063604,"score_spread":0.2162099117728125,"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."}}