{"id":"W3127099629","doi":"10.1109/epec48502.2020.9320116","title":"Review of Studies and Operational Experiences of PV Hosting Capacity Improvement by Smart Inverters","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Photovoltaic system; Inverter; Overvoltage; Smart grid; Grid; Computer science; Electrical engineering; Grid-connected photovoltaic power system; Power (physics); Reliability engineering; Maximum power point tracking; Engineering; Voltage","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":[],"consensus_categories":[],"category_scores_codex":[0.0001224677,0.0001583872,0.0003686346,0.00004245937,0.00005050378,0.00001789126,0.00009100784,0.00004591679,0.00002635691],"category_scores_gemma":[0.00007172562,0.0001417328,0.00003284848,0.000249885,0.00006131272,0.0001057243,0.00002282986,0.00008684647,5.159898e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002374999,"about_ca_system_score_gemma":0.00002971794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005381298,"about_ca_topic_score_gemma":0.000005524623,"domain_scores_codex":[0.9990457,0.0000336651,0.0003798002,0.0002045604,0.0001731459,0.0001631143],"domain_scores_gemma":[0.9995906,0.00005391753,0.0000860716,0.00008365257,0.0001100174,0.00007570272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008634087,0.000084639,0.001890489,0.02200979,0.001568718,0.00001050349,0.07718928,0.0002400415,0.7419748,0.003362914,0.1149269,0.03665558],"study_design_scores_gemma":[0.002020394,0.002927952,0.000379334,0.007951479,0.0002576802,0.00007019332,0.01238192,0.08879522,0.8553684,0.0002163506,0.02769806,0.001933039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7820948,0.1745106,0.03754385,0.0005994567,0.001989293,0.0003064882,0.0000254474,0.0001972523,0.0027328],"genre_scores_gemma":[0.980523,0.01897109,0.0000535654,0.0003248952,0.000037112,0.00004341653,0.000002274411,0.00001001723,0.00003465539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1984281,"threshold_uncertainty_score":0.5779697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866022410399194,"score_gpt":0.218937580998993,"score_spread":0.2002773568950011,"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."}}