{"id":"W4287219720","doi":"10.3390/su14159046","title":"Estimation of Parameters of Triple Diode Photovoltaic Models Using Hybrid Particle Swarm and Grey Wolf Optimization","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Datasheet; Particle swarm optimization; Photovoltaic system; Swarm behaviour; Computer science; Power (physics); Mathematical optimization; Point (geometry); Genetic algorithm; Algorithm; Engineering; Electronic engineering; Mathematics; Artificial intelligence; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004756951,0.0007337627,0.0007906047,0.0004410794,0.0003434329,0.000819743,0.0005856298,0.0009453375,0.0006576144],"category_scores_gemma":[0.001278843,0.0005129913,0.0006783757,0.0004464787,0.0003974445,0.0007375831,0.0005164025,0.0007065723,0.0001327881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004087425,"about_ca_system_score_gemma":0.0006738497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00699593,"about_ca_topic_score_gemma":0.00426488,"domain_scores_codex":[0.9998423,0.00005820647,0.000009638739,0.00003267305,0.00003779171,0.00001936442],"domain_scores_gemma":[0.9996544,0.0002067509,0.00005730297,0.00002071526,0.0000495343,0.0000112268],"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":[0.000006332988,0.000006602659,0.0002714772,0.00001197548,0.00001046333,0.00001441001,0.00001182174,0.9957515,0.0003124368,0.0004119021,0.0000530716,0.003138084],"study_design_scores_gemma":[0.000001727899,0.000005425329,0.00008920053,0.000001733586,0.000001874775,0.000003079771,0.000003847087,0.9994181,0.0001176047,0.0003073056,0.00004831274,0.000001745614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07100694,0.0001968996,0.925141,0.0001295928,0.00002045514,0.00005103717,0.00006247006,0.0001916198,0.003200008],"genre_scores_gemma":[0.9364394,0.0002113237,0.06133213,0.00003335749,0.0000136043,0.0001650898,0.0001317152,0.00003124232,0.001642119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00699593,"threshold_uncertainty_score":0.01391041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973621595514822,"score_gpt":0.2608223061948781,"score_spread":0.2410860902397298,"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."}}