{"id":"W4285194140","doi":"10.2316/j.2022.203-0419","title":"REAL-TIME SIMULATION ANALYSIS OF LM ALGORITHM-BASED NN FOR THE CONTROL OF VSC IN GRID CONNECTED PV-DIESEL MICROGRID USING OP4500 RT-LAB SIMULATOR","year":2022,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microgrid; Grid; Simulation; Computer science; Control (management); Real-time computing; Algorithm; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003843058,0.0005927738,0.000433411,0.0002569905,0.000263219,0.0003539845,0.0005446009,0.0004020554,0.004212618],"category_scores_gemma":[0.0005046329,0.0001718474,0.0003627249,0.0001802532,0.0002043243,0.0003006178,0.0001952824,0.0004321002,0.0002898735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027396,"about_ca_system_score_gemma":0.000416149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094835,"about_ca_topic_score_gemma":0.00964983,"domain_scores_codex":[0.9998724,0.0000426733,0.000006924634,0.00001707424,0.00004391484,0.00001696724],"domain_scores_gemma":[0.9997085,0.0001374637,0.00002826036,0.0000178842,0.00009628781,0.00001157231],"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":[0.000108434,0.00004613155,0.0007890087,0.0001176258,0.00002415552,0.00006340621,0.00003914021,0.9847493,0.003474951,0.0005007998,0.0005331968,0.009553882],"study_design_scores_gemma":[0.000008320276,0.00005345759,0.0002813402,0.000002966884,0.000005413745,0.000005339357,0.000006715307,0.9982053,0.00123092,0.00005074167,0.0001468846,0.000002560635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6493599,0.0005448006,0.3097937,0.0003079918,0.000138991,0.0002646341,0.0006191961,0.003460431,0.03551035],"genre_scores_gemma":[0.990766,0.00005694429,0.007247492,0.00001428873,0.000003039061,0.00007002411,0.00009436551,0.00003775457,0.001710012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01094835,"threshold_uncertainty_score":0.02176929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139541482140423,"score_gpt":0.27357506389398,"score_spread":0.2621796490725757,"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."}}