{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007968357,0.00019417,0.0004772767,0.0001859722,0.0001310527,0.00006461703,0.0001987092,0.00007209153,0.00006686948],"category_scores_gemma":[0.00008681072,0.0001655609,0.00010106,0.0001288055,0.00005577049,0.0001705375,0.00003154835,0.0001242252,0.00001135325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420636,"about_ca_system_score_gemma":0.00006556384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352095,"about_ca_topic_score_gemma":0.000068548,"domain_scores_codex":[0.9980711,0.0004658901,0.0006385092,0.0002019236,0.0003243902,0.0002981298],"domain_scores_gemma":[0.9986655,0.0001534022,0.0005109577,0.0002803705,0.0001914359,0.0001982953],"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":[0.00005379727,0.00002938348,0.0001752485,0.00005828243,0.0001845578,0.00003476385,0.00004203002,0.9668421,0.02336982,0.005509651,0.0003556582,0.003344703],"study_design_scores_gemma":[0.001674536,0.0001400989,0.00007729198,0.000183116,0.00008845431,0.001781445,0.00006238931,0.9867701,0.003919953,0.0001277608,0.004970296,0.0002045846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1747195,0.0008797303,0.788784,0.0002236329,0.001027019,0.0001169178,0.00001354876,0.0002016306,0.03403407],"genre_scores_gemma":[0.995965,0.0001594653,0.001948193,0.00004809291,0.0002819449,0.000006180347,0.00000961425,0.00004960388,0.001531876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8212455,"threshold_uncertainty_score":0.6751376,"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."}}