{"id":"W4381982978","doi":"10.1049/rpg2.12773","title":"Coordinated active and reactive power management for enhancing PV hosting capacity in distribution networks","year":2023,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"AC power; Computer science; Control (management); Photovoltaics; Power (physics); Power control; Mathematical optimization; Control theory (sociology); Reliability engineering; Photovoltaic system; Control engineering; Engineering; Electrical engineering; Voltage; Mathematics; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000351076,0.0002150475,0.0001988164,0.0001287453,0.0001449427,0.00008882777,0.00006510814,0.0001572383,0.000009569576],"category_scores_gemma":[0.00007140646,0.0002527302,0.00004362458,0.000594296,0.0000253125,0.0003965691,0.0000417733,0.0001379288,0.00000750844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003838472,"about_ca_system_score_gemma":0.0000111967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001017181,"about_ca_topic_score_gemma":0.0004515271,"domain_scores_codex":[0.9987353,0.00003751935,0.0003047107,0.0003480059,0.0001356458,0.0004387853],"domain_scores_gemma":[0.9995433,0.0000618484,0.00006125361,0.0001648929,0.0001004059,0.0000683093],"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":[0.00006961735,0.00003781053,0.0003192532,0.00005784821,0.0000870492,0.000008458025,0.0004456727,0.8950415,0.0936863,0.0007039936,0.007863902,0.001678575],"study_design_scores_gemma":[0.0009859527,0.0001192936,0.007987311,0.00008956904,0.00003614017,0.000003611156,0.0004810237,0.8894452,0.09773712,0.0002194917,0.002453852,0.0004414566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6278095,0.00005833722,0.3695458,0.00005804918,0.000657721,0.0006191495,0.0001734017,0.0003176043,0.0007604798],"genre_scores_gemma":[0.99691,0.00005685325,0.0005371238,0.00001502971,0.00008437024,0.0001900077,0.002083437,0.00003563199,0.0000875083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3691005,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809793156836632,"score_gpt":0.2214838805574008,"score_spread":0.2033859489890344,"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."}}