{"id":"W2730293128","doi":"10.1109/tpwrd.2017.2721903","title":"Fault Location in Ungrounded Photovoltaic System Using Wavelets and ANN","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fault indicator; Engineering; Fault (geology); Wavelet; Electronic engineering; Artificial neural network; Fault detection and isolation; Photovoltaic system; Waveform; Converters; Ground; Computer science; Voltage; Artificial intelligence; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003787123,0.0003905054,0.0003256937,0.0002543661,0.0001265687,0.0004142626,0.0003259246,0.0004833595,0.0003241925],"category_scores_gemma":[0.0008636818,0.0002017592,0.0002850985,0.0003075401,0.0001677957,0.0005268814,0.0002110609,0.0003611603,0.00009365342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002824013,"about_ca_system_score_gemma":0.0001842504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002309354,"about_ca_topic_score_gemma":0.001642446,"domain_scores_codex":[0.9998722,0.00003610785,0.00001022524,0.00002931027,0.00003624268,0.00001589862],"domain_scores_gemma":[0.9997748,0.0001031426,0.00004753553,0.00001746954,0.0000498092,0.000007234466],"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":[0.00008751692,0.00003788697,0.002043155,0.00005001733,0.00003293853,0.0001231783,0.00003693946,0.9151766,0.005326892,0.0008908041,0.0001948089,0.07599917],"study_design_scores_gemma":[6.663924e-7,0.000005821323,0.0001599687,0.000001164153,0.000001294006,0.000003101888,0.00000189343,0.9994497,0.0002615057,0.00009094035,0.00002331273,6.738574e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2868559,0.0005248439,0.7102382,0.0001407856,0.000039797,0.00002328029,0.0000385472,0.0003028011,0.00183579],"genre_scores_gemma":[0.9586758,0.0001962336,0.0402987,0.00001643409,0.00001239325,0.00001834056,0.00003904747,0.00001209048,0.0007309809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002309354,"threshold_uncertainty_score":0.004591882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369752275550999,"score_gpt":0.2592465975598285,"score_spread":0.2355490748043185,"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."}}