{"id":"W2963569609","doi":"10.1109/tpwrs.2019.2929685","title":"Optimal Energy Flow for Integrated Energy Systems Considering Gas Transients","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Discretization; Energy flow; Flow (mathematics); Transient (computer programming); Energy (signal processing); Computer science; Mathematical optimization; Applied mathematics; Mathematics; Mechanics; Physics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007067517,0.0006797195,0.0009953234,0.0004786578,0.0003906733,0.0009937349,0.0004749231,0.0008530294,0.001234541],"category_scores_gemma":[0.001359054,0.0004283201,0.0005365454,0.0005221173,0.0007411152,0.0009938802,0.0006704985,0.0007682299,0.00009381198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097323,"about_ca_system_score_gemma":0.001251746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008001314,"about_ca_topic_score_gemma":0.004504014,"domain_scores_codex":[0.9997956,0.00006845259,0.000006925714,0.00003404378,0.00005573048,0.00003924406],"domain_scores_gemma":[0.9997876,0.0001298544,0.00002355169,0.00001091709,0.00003332025,0.0000146831],"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":[0.00002632463,0.00001013001,0.0001548956,0.0000177202,0.000007402486,0.00002526769,0.00001162721,0.9874541,0.0005142057,0.00778211,0.0001387779,0.003857586],"study_design_scores_gemma":[0.000003450323,0.000006361614,0.00002709087,0.000001642595,0.000001692243,0.000002338018,0.000003538288,0.9978935,0.00009416533,0.001859227,0.0001058058,0.000001250014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04763618,0.0003980225,0.9471048,0.0001930686,0.00004771078,0.0000381234,0.00005871235,0.0001056756,0.004417781],"genre_scores_gemma":[0.9340221,0.0002996587,0.06275441,0.00005430019,0.00002845022,0.00008494104,0.00009851492,0.00004156917,0.002615998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008001314,"threshold_uncertainty_score":0.01590949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00676188393534822,"score_gpt":0.1859133531321177,"score_spread":0.1791514691967695,"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."}}