{"id":"W2899253471","doi":"10.1016/j.apenergy.2018.10.003","title":"Hydrogen value chain and fuel cells within hybrid renewable energy systems: Advanced operation and control strategies","year":2018,"lang":"en","type":"article","venue":"Applied Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Research Foundation","keywords":"Operability; Model predictive control; Hybrid system; Controller (irrigation); Computer science; Overshoot (microwave communication); Control engineering; Renewable energy; Solid oxide fuel cell; Efficient energy use; Range (aeronautics); Control theory (sociology); Engineering; Control (management); Reliability engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004767362,0.0006538478,0.000833998,0.0002433009,0.0003988424,0.0003896094,0.0003284508,0.0002509591,0.00004532414],"category_scores_gemma":[0.00001520753,0.0006178278,0.00006744011,0.0002424925,0.0003209946,0.0004292441,0.0001397969,0.0001196819,0.00002339778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001331642,"about_ca_system_score_gemma":0.000184624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05667144,"about_ca_topic_score_gemma":0.01116647,"domain_scores_codex":[0.9964955,0.0002717925,0.0008694411,0.001099796,0.0004721625,0.0007913501],"domain_scores_gemma":[0.9982209,0.0001485182,0.0003588713,0.0007745146,0.0001219501,0.000375313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001283735,0.00004270047,0.000006270437,0.00006403081,0.0001622327,0.0000211031,0.0002011706,0.565219,0.1852221,0.2470525,0.0004393379,0.00144116],"study_design_scores_gemma":[0.004906094,0.0004907449,0.00001079603,0.0001273739,0.0001446022,0.0001929562,0.00187612,0.2209939,0.583216,0.01069476,0.1757811,0.001565597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.458846,0.01440606,0.1657854,0.0002508216,0.004860331,0.001255794,0.0001459577,0.002087433,0.3523622],"genre_scores_gemma":[0.9926912,0.0003732583,0.0005096822,0.0004275257,0.001099589,0.0003880248,0.00008605661,0.0001573875,0.004267322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5338452,"threshold_uncertainty_score":0.9996273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005298777091338124,"score_gpt":0.1929631909922934,"score_spread":0.1876644139009552,"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."}}