{"id":"W2135912218","doi":"10.1002/aic.14458","title":"Dynamic real‐time optimization and control of a hybrid energy system","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lambton College; University of Calgary","funders":"","keywords":"Renewable energy; Turbine; Supervisory control; Engineering; Scheduling (production processes); Model predictive control; Control (management); Energy management; Control engineering; Automotive engineering; Energy (signal processing); Computer science; Operations management; Mechanical engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003911932,0.0005884686,0.0004534149,0.0001770621,0.0003728271,0.00108456,0.000464522,0.0006320703,0.00154576],"category_scores_gemma":[0.0005146036,0.0002699019,0.0003054034,0.0002260981,0.00071139,0.0003823679,0.0006338801,0.0005771451,0.0001731988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005602676,"about_ca_system_score_gemma":0.0005766711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006800237,"about_ca_topic_score_gemma":0.004076895,"domain_scores_codex":[0.9998345,0.00005179653,0.000005578644,0.00003962498,0.00004092947,0.00002753725],"domain_scores_gemma":[0.9998119,0.0001049159,0.00002997271,0.000007862951,0.00003053607,0.00001487205],"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":[0.0000480109,0.00001974807,0.0001506439,0.00002778244,0.00001501291,0.00007646569,0.00003186135,0.986547,0.002661241,0.003969172,0.0002251053,0.006228033],"study_design_scores_gemma":[0.000007397162,0.00002993886,0.00007154457,0.000001524423,0.000003270594,0.000006336838,0.000004968271,0.9988915,0.000213257,0.0005618965,0.0002059086,0.000002524662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.177425,0.000701298,0.795055,0.0006005554,0.0001177137,0.00008039773,0.00008803309,0.0005019288,0.02543005],"genre_scores_gemma":[0.987695,0.0001174915,0.008488517,0.00002958369,0.00001684842,0.00005585859,0.00002371238,0.00001303684,0.003560061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006800237,"threshold_uncertainty_score":0.01352131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002522773596590452,"score_gpt":0.1799099558497729,"score_spread":0.1773871822531825,"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."}}