{"id":"W1957357377","doi":"10.1109/tia.2016.2642883","title":"Procedure to Match the Dynamic Response of MPPT and Droop-Controlled Microinverters","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Voltage droop; Maximum power point tracking; Control theory (sociology); Context (archaeology); Power (physics); Computer science; Grid; Maximum power principle; Inverter; Photovoltaic system; Engineering; Reliability (semiconductor); Plug and play; Electronic engineering; Control (management); Voltage; Electrical engineering; Voltage source","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":[],"consensus_categories":[],"category_scores_codex":[0.000137313,0.0001351484,0.0001644477,0.0001161754,0.0001294179,0.0000186805,0.0001451835,0.0001705148,0.00005496707],"category_scores_gemma":[0.000005103787,0.00008874065,0.00005724605,0.0002940134,0.00006083179,0.00006778367,0.000001005481,0.0002068567,0.00003338312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005611522,"about_ca_system_score_gemma":0.00003183672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000358175,"about_ca_topic_score_gemma":0.0000156665,"domain_scores_codex":[0.9993093,0.000034171,0.0002431809,0.0001712451,0.00008622914,0.0001558537],"domain_scores_gemma":[0.9993309,0.0001936421,0.00003646105,0.0003079548,0.00005098775,0.00008010487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001263814,0.0001807403,0.00002664833,0.00006046632,0.0002709319,7.014825e-7,0.0005929047,0.1688841,0.6953771,0.0001492715,0.001483051,0.1317102],"study_design_scores_gemma":[0.02825694,0.0007997282,0.009014713,0.0008280577,0.001232295,0.000236824,0.001844363,0.335022,0.5783468,0.001099378,0.04060907,0.002709821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1026043,0.00009735285,0.890796,0.004789285,0.00008118678,0.001252069,0.0001219788,0.0001607474,0.00009708336],"genre_scores_gemma":[0.9974365,0.00008743553,0.0005313402,0.0001265241,0.00001791532,0.00115154,0.000001000396,0.00002518192,0.0006226088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8948321,"threshold_uncertainty_score":0.3618739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004304605511342909,"score_gpt":0.203134741361456,"score_spread":0.1988301358501131,"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."}}