{"id":"W2964471150","doi":"10.3390/en12153017","title":"Special Issue “Intelligent Control in Energy Systems”","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microgrid; Energy management; HVAC; Computer science; Intelligent control; Control engineering; Operations research; Engineering; Control (management); Artificial intelligence; Energy (signal processing); Air conditioning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009460687,0.0001711891,0.0002376752,0.0001798664,0.00001370294,0.00004642132,0.0001851547,0.00006312412,0.0005910593],"category_scores_gemma":[0.000005174495,0.0001737773,0.00004770267,0.0001603173,0.00001350379,0.0001001475,0.0000372942,0.00007238143,0.0004966054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307367,"about_ca_system_score_gemma":0.00000677705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002470706,"about_ca_topic_score_gemma":0.0001252368,"domain_scores_codex":[0.999065,0.00002806165,0.0002466332,0.0001796866,0.0001796739,0.000300969],"domain_scores_gemma":[0.9995857,0.00004373474,0.00001974097,0.000294069,0.0000138081,0.00004291111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006559664,0.000009969873,0.0005972311,0.00003277633,0.00003746137,0.00001377407,0.00006427133,0.933767,0.0001697396,0.0111112,0.05241638,0.00177361],"study_design_scores_gemma":[0.0003326033,0.00001540324,0.0006137665,0.00002768969,0.000005485109,0.000001352873,0.0001626011,0.1486422,0.001064058,0.00003053279,0.8489199,0.0001843774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2891136,0.003461051,0.004963174,0.0001917025,0.03455544,0.0003960586,0.00001194052,0.0011233,0.6661837],"genre_scores_gemma":[0.9857147,0.0002950224,0.00004664623,0.00009271017,0.00553806,0.00005464269,0.000007278121,0.00004482522,0.008206109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7965035,"threshold_uncertainty_score":0.7086431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003659447587431543,"score_gpt":0.1703048158611204,"score_spread":0.1666453682736889,"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."}}