{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00210414,0.002586508,0.002931247,0.002991694,0.001522845,0.00721647,0.001881655,0.004436732,0.05293335],"category_scores_gemma":[0.004740657,0.0006577063,0.001909262,0.001956178,0.001430437,0.003626975,0.001210883,0.006990388,0.02676876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885349,"about_ca_system_score_gemma":0.001875031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008435337,"about_ca_topic_score_gemma":0.001521085,"domain_scores_codex":[0.9975367,0.0002989624,0.000226035,0.0004227964,0.001309529,0.0002060478],"domain_scores_gemma":[0.9941281,0.001644612,0.0003639966,0.0003629173,0.002729047,0.0007713886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002530444,0.00001921115,0.00004945923,0.0002319179,0.00002061883,0.00005495346,0.00001199064,0.0001529012,0.0001438295,0.002840806,0.9763965,0.02005257],"study_design_scores_gemma":[0.00001125699,0.00004234905,0.0001889384,0.0001914706,0.00001894351,0.0001673049,0.00001814361,0.0004584746,0.0001262584,0.002725562,0.9960409,0.0000103181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001805601,0.02681463,0.002313586,0.01958073,0.9174584,0.00004721477,0.000145089,0.0002237911,0.03323615],"genre_scores_gemma":[0.002431223,0.02396391,0.0010317,0.01020636,0.8611963,0.00005414832,0.0002464503,0.0002244964,0.1006453],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05293335,"threshold_uncertainty_score":0.1770797,"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."}}