{"id":"W4413360860","doi":"10.18280/mmep.120720","title":"Improved MPPT Performance of VSS-Based Incremental Conductance with Auxiliary PID Correction for Photovoltaic Power Optimization","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Andalas; Universitas Negeri Padang","keywords":"Photovoltaic system; PID controller; Control theory (sociology); Maximum power point tracking; Power (physics); Computer science; Control engineering; Electrical engineering; Engineering; Control (management); Physics; Artificial intelligence; Temperature control","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002582667,0.0001896299,0.0002994739,0.0001513248,0.00006626567,0.00002901274,0.00008480492,0.0001040861,0.00001345287],"category_scores_gemma":[0.00004212874,0.0001671906,0.00004070441,0.0002243073,0.00003766322,0.0001253458,0.00001702714,0.00009503128,3.586558e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006091524,"about_ca_system_score_gemma":0.00003385433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004242595,"about_ca_topic_score_gemma":0.000001332501,"domain_scores_codex":[0.9990229,0.00001116483,0.0004081495,0.0002374679,0.0001220353,0.0001982835],"domain_scores_gemma":[0.9993892,0.0001279798,0.000105182,0.0001909466,0.0001435122,0.00004319352],"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":[0.00006459261,0.00005352289,0.00002439461,0.001071262,0.00003149174,8.228071e-8,0.00009061149,0.9764637,0.02088785,0.001228568,0.0000175038,0.00006639926],"study_design_scores_gemma":[0.0004995788,0.0001710625,0.000001150815,0.0008484922,0.00002918689,0.000002671408,0.00001763756,0.887851,0.1101428,0.0002280514,0.00005370662,0.0001546888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05482184,0.00006888626,0.9435586,0.000009938367,0.0000969231,0.0006490972,0.000004073403,0.0002728078,0.0005178201],"genre_scores_gemma":[0.7524202,0.00001912688,0.2470592,0.00001556159,0.000006781692,0.0002845867,0.00001575622,0.00003022933,0.0001486102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6975983,"threshold_uncertainty_score":0.6817834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103938430100621,"score_gpt":0.2088610488847973,"score_spread":0.1978216645837911,"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."}}