{"id":"W2082259714","doi":"10.1109/lescpe.2006.280358","title":"Security Constraints Unit Commitment for a Multi-Regional Electricity Market","year":2006,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Electricity market; Power system simulation; Electricity; Operator (biology); Deregulation; Computer science; Mathematical optimization; Electric power system; Electricity retailing; Electricity generation; Operations research; Economics; Power (physics); Engineering; Electrical engineering; Mathematics; Market economy","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":[0.001168858,0.0008110297,0.0009438723,0.0003347567,0.000407482,0.001118977,0.001351226,0.0008827645,0.006291738],"category_scores_gemma":[0.001733371,0.0004547629,0.0006175228,0.0007110366,0.0005857485,0.001228408,0.0008981348,0.001364204,0.0007537219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008436498,"about_ca_system_score_gemma":0.0009984699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607713,"about_ca_topic_score_gemma":0.003045039,"domain_scores_codex":[0.9991523,0.0004403789,0.00002376499,0.0001345224,0.0001683563,0.00008068541],"domain_scores_gemma":[0.9995203,0.0002515767,0.00006474493,0.00005018163,0.00007488352,0.0000384731],"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":[0.00003744346,0.00001638838,0.00009149382,0.00004541232,0.00002716311,0.0000834235,0.00002628328,0.9522196,0.001195847,0.03305736,0.0008297682,0.01236987],"study_design_scores_gemma":[0.000009977972,0.00001866717,0.00004368627,0.000003742671,0.000005696278,0.00002061996,0.000008670435,0.9928705,0.0003309571,0.005680866,0.001001442,0.000005156061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01505378,0.0002787639,0.9775835,0.00018873,0.00004115401,0.00004629797,0.00007731588,0.00009913732,0.006631304],"genre_scores_gemma":[0.751846,0.0004743797,0.2371786,0.00008763435,0.00006660362,0.0002260588,0.0001465216,0.0001726288,0.009801528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006291738,"threshold_uncertainty_score":0.02104801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180610211760761,"score_gpt":0.2341594364953559,"score_spread":0.2160984153192798,"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."}}