{"id":"W4404102644","doi":"10.1109/sege62220.2024.10739617","title":"Review on Virtual Power Plant for Hierarchical Control Techniques","year":2024,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Control (management); Power control; Power (physics); Artificial intelligence","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":[0.0003063258,0.0001702437,0.0003126668,0.00008340163,0.00004763975,0.00004617667,0.0001439069,0.0001129508,0.0004540697],"category_scores_gemma":[0.00004692284,0.0001038041,0.0001917082,0.0001029612,0.00002626721,0.00004918199,0.00001868821,0.0001126072,0.0001008789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000379149,"about_ca_system_score_gemma":0.00004894498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002980683,"about_ca_topic_score_gemma":0.0001113825,"domain_scores_codex":[0.9989381,0.00005649852,0.0002936874,0.0003018013,0.0001464876,0.0002633996],"domain_scores_gemma":[0.9993717,0.0002397513,0.0000233864,0.000246452,0.00002519106,0.00009351344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000337181,0.00002882997,3.974182e-7,0.0003187687,0.00006854045,0.00001908924,0.00001156156,0.00002105199,0.0007596147,0.7016175,0.2689855,0.02813543],"study_design_scores_gemma":[0.0001700785,0.0003694657,0.000001137546,0.002480989,0.00002233241,0.00002473977,0.0000052272,0.0004728267,0.002193638,0.001078154,0.9930157,0.0001656947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002233619,0.09675529,0.1036355,0.009640428,0.00484285,0.001707603,0.0002918326,0.002935234,0.7799679],"genre_scores_gemma":[0.838419,0.01133776,0.00148694,0.0302306,0.00193724,0.001346871,0.0001642145,0.000199223,0.1148782],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8381956,"threshold_uncertainty_score":0.4971745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128853382449774,"score_gpt":0.2603174820495512,"score_spread":0.2490289482250534,"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."}}