{"id":"W2902814005","doi":"10.1049/iet-stg.2018.0166","title":"Versatile decentralised control of the DC microgrid","year":2018,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Microgrid; Flexibility (engineering); Battery (electricity); Power Balance; Grid; Energy storage; Computer science; Renewable energy; Power (physics); Modularity (biology); Voltage; Reliability (semiconductor); Direct current; Converters; Control (management); Control theory (sociology); Control engineering; Engineering; Electrical engineering","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":[0.00007776814,0.0001086417,0.0001432459,0.00002689566,0.00005730371,0.00001743225,0.0001861949,0.00005650553,0.0002363676],"category_scores_gemma":[0.00002061392,0.00008178158,0.0000885937,0.0001383334,0.00008168996,0.00006329504,0.00001800069,0.00007471574,0.00006185981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000253118,"about_ca_system_score_gemma":0.00001611738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001902197,"about_ca_topic_score_gemma":0.00003560355,"domain_scores_codex":[0.9993683,0.00002371269,0.0001886911,0.0001005978,0.0001057833,0.0002129524],"domain_scores_gemma":[0.9995565,0.00002812207,0.00003939644,0.0002538253,0.00007968837,0.00004248817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003442272,0.0001914798,0.04912693,0.0002084121,0.0007276406,0.000006093393,0.002124768,0.06457469,0.5210675,0.0004364749,0.3285728,0.03261906],"study_design_scores_gemma":[0.004481245,0.0001232437,0.02645926,0.00007670382,0.0001569207,0.00001125551,0.00004793531,0.1556695,0.2461076,0.0000901148,0.5663218,0.0004544554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275013,0.006023914,0.03243861,0.001619393,0.01950522,0.001680956,0.0005158719,0.000879725,0.00983497],"genre_scores_gemma":[0.9987209,0.00009970706,0.0003511136,0.0002034486,0.0005476946,0.000009422603,0.00000898753,0.0000204567,0.00003821193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2749599,"threshold_uncertainty_score":0.3334956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003341987400962488,"score_gpt":0.166927772383108,"score_spread":0.1635857849821456,"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."}}