{"id":"W2980204105","doi":"10.1109/ccece.2019.8861875","title":"Dynamic Modeling and Analysis of a Micro-Hydro Power Plant for Microgrid Applications","year":2019,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Penstock; Microgrid; Surge tank; Hydropower; Hydroelectricity; Turbine; Micro hydro; Hydraulic turbines; Range (aeronautics); Generator (circuit theory); Representation (politics); Permanent magnet synchronous generator; Controller (irrigation); Power (physics); Power station; Control engineering; Load rejection; Control theory (sociology); Electric power system; Computer science; Engineering; Mechanical engineering; Voltage; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004378333,0.0000725752,0.0001746929,0.0001559424,0.00001543706,0.00001272748,0.00005006086,0.0000398289,0.00004865534],"category_scores_gemma":[0.000001044016,0.00006749942,0.00007084982,0.0001893613,0.000005647237,0.0000387159,0.000009311382,0.0000260883,0.000003398057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001239352,"about_ca_system_score_gemma":0.000003839834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006495161,"about_ca_topic_score_gemma":0.00001456386,"domain_scores_codex":[0.9995936,0.000002259477,0.0001590308,0.0001131877,0.00003128492,0.0001006136],"domain_scores_gemma":[0.9997755,0.0000220419,0.00001894649,0.0001280287,0.00003214066,0.00002333542],"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":[0.000007520388,0.00001017506,0.0003693655,0.00004023183,0.0003903816,2.864197e-8,0.00006131555,0.9146054,0.08258817,0.0001547905,0.00002212642,0.001750514],"study_design_scores_gemma":[0.000230337,0.000008585484,0.00008094609,0.00000362359,0.000218372,5.744662e-7,0.00002634046,0.9976727,0.0007575424,0.0000269357,0.000892878,0.00008117656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2507465,0.001622581,0.746602,0.00001841659,0.00002910275,0.0004113827,0.0001613616,0.00007438804,0.0003342825],"genre_scores_gemma":[0.9795245,0.0003128862,0.01983618,0.00002188204,0.000004000999,0.00004639618,0.0001847721,0.00001341897,0.00005599027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7287779,"threshold_uncertainty_score":0.2752547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002731457196733637,"score_gpt":0.1828306349090619,"score_spread":0.1800991777123283,"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."}}