{"id":"W4413408454","doi":"10.11113/jurnalteknologi.v87.22870","title":"ANALYSIS OF NON-OPTIMAL PV SIZING AND PLACEMENT IN DISTRIBUTION NETWORKS WITH COMMERCIAL, INDUSTRIAL, AND RESIDENTIAL LOADS","year":2025,"lang":"en","type":"article","venue":"Jurnal Teknologi","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Universiti Teknologi Petronas; Sexually Transmitted Infection Research Foundation","keywords":"Sizing; Distribution (mathematics); Environmental science; Computer science; Reliability engineering; Architectural engineering; Engineering; Mathematics","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":[0.0007193568,0.000437367,0.0003735805,0.0004215397,0.0002363872,0.0004470899,0.0003223486,0.0003637827,0.0003801631],"category_scores_gemma":[0.002342857,0.0002786841,0.0003036961,0.0004628786,0.0003606205,0.0003853143,0.0001672319,0.0002290354,0.00003753308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009215689,"about_ca_system_score_gemma":0.0005918928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009820082,"about_ca_topic_score_gemma":0.01015659,"domain_scores_codex":[0.9996594,0.0001218715,0.00001476097,0.00004847539,0.00009884426,0.00005666013],"domain_scores_gemma":[0.9984536,0.001143612,0.0002021031,0.00003995606,0.0001361253,0.00002450182],"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":[0.00004519306,0.00001826776,0.002266476,0.00003197296,0.00001194682,0.00008682675,0.00001980743,0.9904606,0.001315272,0.0004797798,0.00008178412,0.005181922],"study_design_scores_gemma":[0.000002573205,0.00002616531,0.001366541,0.00000159058,0.000005156891,0.00001346279,0.00001806544,0.9978205,0.0005385484,0.0001662908,0.00003940873,0.000001756322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874809,0.0002733023,0.1211549,0.00009993679,0.0000154269,0.00004797554,0.00006535341,0.00008386391,0.003450303],"genre_scores_gemma":[0.9948284,0.00005305963,0.004796305,0.000005082071,0.000002387682,0.00001023967,0.00002180168,0.000005547949,0.0002772239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009820082,"threshold_uncertainty_score":0.01952583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326799481616158,"score_gpt":0.252902310647927,"score_spread":0.2396343158317654,"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."}}