{"id":"W3114636227","doi":"10.2316/j.2021.203-0188","title":"VARIABLE PARAMETER ZERO-ATTRACTING LEAST MEAN SQUARE CONTROL OF MULTIFUNCTIONAL PV-BATTERY-FUEL CELL GRID-TIED SYSTEM","year":2020,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Square (algebra); Fuel cells; Variable (mathematics); Battery (electricity); Grid; Zero (linguistics); Control theory (sociology); Zero emission; Control (management); Engineering; Automotive engineering; Electrical engineering; Computer science; Mathematics; Physics; Chemical engineering; Mathematical analysis; Power (physics); Artificial intelligence; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003166029,0.0004092978,0.000531377,0.0001339209,0.0003626893,0.0007076015,0.0004872711,0.0004286389,0.001290983],"category_scores_gemma":[0.0004568591,0.0001538084,0.0002328473,0.0001973026,0.0003484604,0.0002756965,0.0004151319,0.0003167883,0.0002121714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665216,"about_ca_system_score_gemma":0.0002885465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526925,"about_ca_topic_score_gemma":0.001859208,"domain_scores_codex":[0.9998608,0.00003537524,0.000007413426,0.00004278425,0.00003272174,0.00002094511],"domain_scores_gemma":[0.9998403,0.00004234397,0.00003224999,0.00001256364,0.00006301758,0.000009409425],"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":[0.0004020074,0.00008254591,0.001038064,0.0002755737,0.000086131,0.0002530309,0.0002273909,0.8562357,0.05146993,0.008704956,0.001575635,0.07964896],"study_design_scores_gemma":[0.00001203462,0.00009820745,0.0002330033,0.000004999434,0.00001067214,0.00001590205,0.000009151676,0.99694,0.001854448,0.0005190169,0.0002984527,0.000004140141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2094825,0.0003745471,0.7745664,0.0002344318,0.0001847985,0.00004479413,0.00004588785,0.0003889747,0.01467776],"genre_scores_gemma":[0.9947083,0.00004367049,0.003840591,0.00001704716,0.00001068561,0.00001452476,0.00001103627,0.000006775778,0.001347262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001526925,"threshold_uncertainty_score":0.004318774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176073035145842,"score_gpt":0.2163849805116047,"score_spread":0.2046242501601463,"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."}}