{"id":"W4309234251","doi":"10.1109/ias54023.2022.9939852","title":"Hybrid Machine Learning-based Intelligent Distance Protection and Control Schemes with Fault and Zonal Classification Capabilities for Grid-connected Wind Farms","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Relay; Support vector machine; Computer science; Grid; Extreme learning machine; Wind power; Decision tree; Engineering; MATLAB; Fault (geology); Control engineering; Control theory (sociology); Reliability engineering; Artificial neural network; Artificial intelligence; Control (management)","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":[0.000364422,0.0003614379,0.0003222285,0.0003307677,0.0002465653,0.0004700356,0.0004559156,0.0003566541,0.0007106758],"category_scores_gemma":[0.0006819655,0.0001447184,0.0002385278,0.0003063538,0.0002214711,0.0006109273,0.000191466,0.0002584074,0.0001476749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003445806,"about_ca_system_score_gemma":0.0001525192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009949285,"about_ca_topic_score_gemma":0.00129083,"domain_scores_codex":[0.9997318,0.00004954007,0.00002542193,0.00005048856,0.0001163876,0.00002630913],"domain_scores_gemma":[0.9997109,0.00007878882,0.00006171757,0.0000408261,0.00009994552,0.000007805437],"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":[0.000355234,0.000159057,0.002250566,0.0002506103,0.000124788,0.0001465451,0.0001427199,0.4721443,0.04439851,0.007260622,0.0009644329,0.4718026],"study_design_scores_gemma":[0.00002256825,0.0001813324,0.001423784,0.00001136686,0.00002762034,0.00006115528,0.000009931238,0.9859299,0.009601259,0.001083714,0.001637535,0.000009777799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1347729,0.001102427,0.858979,0.0001393582,0.00006540166,0.000068015,0.00003245252,0.001054393,0.003786055],"genre_scores_gemma":[0.9610873,0.0001493623,0.03793418,0.00002102319,0.00001479765,0.00002633333,0.00002321627,0.00001191328,0.0007318314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009949285,"threshold_uncertainty_score":0.002500057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111008667334248,"score_gpt":0.219135963667917,"score_spread":0.2080350969344922,"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."}}