{"id":"W4245783092","doi":"10.1109/59.932289","title":"Inter-utilities power-exchange coordination: a market-oriented approach","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Power System Optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electric power system; Scheduling (production processes); Computer science; Decomposition; Grid; Power system simulation; Independence (probability theory); Power market; Economic dispatch; Mathematical optimization; Market oriented; Power (physics); Economics; Mathematics","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":[0.001247721,0.0006904392,0.0009072955,0.0007058666,0.0006325823,0.001309236,0.001484215,0.0008981302,0.003223509],"category_scores_gemma":[0.001018052,0.0003414252,0.0005552809,0.001117886,0.0007264006,0.001531626,0.0007477553,0.001122887,0.0005643944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008752755,"about_ca_system_score_gemma":0.001857691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231327,"about_ca_topic_score_gemma":0.002249399,"domain_scores_codex":[0.9991143,0.0004078818,0.0000318517,0.0001382744,0.0002074242,0.0001001753],"domain_scores_gemma":[0.9995162,0.0001437429,0.00007782338,0.00007181004,0.0001344496,0.00005604243],"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":[0.00009288892,0.0001871488,0.0003391946,0.0001047314,0.00005667322,0.0001735261,0.0001058467,0.7298964,0.00856181,0.1571789,0.003437154,0.09986576],"study_design_scores_gemma":[0.00002886414,0.00004791797,0.00008793564,0.000005343089,0.00001249,0.00004682335,0.00002477084,0.9732579,0.001500994,0.02149962,0.003477877,0.000009555813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003251166,0.00005572689,0.9940118,0.0001051179,0.00002040261,0.00004721098,0.00001484543,0.0001004302,0.002393378],"genre_scores_gemma":[0.4654137,0.0003303223,0.5283404,0.000147533,0.0001164206,0.0003752163,0.00010336,0.0001124936,0.005060671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003223509,"threshold_uncertainty_score":0.01078373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009348881120758408,"score_gpt":0.1990735005602454,"score_spread":0.189724619439487,"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."}}