{"id":"W1721191018","doi":"10.1007/978-3-642-23193-3_2","title":"Optimization-Based Bidding in Day-Ahead Electricity Auction Markets: A Review of Models for Power Producers","year":2011,"lang":"en","type":"review","venue":"Energy systems","topic":"Electric Power System Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bidding; Mathematical optimization; Competition (biology); Linear programming; Integer programming; Computer science; Electricity; Schedule; Power system simulation; Stochastic programming; Operations research; Microeconomics; Real-time bidding; Electricity market; Economics; Power (physics); Electric power system; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001420567,0.001622819,0.002856866,0.001111413,0.0002483982,0.002051331,0.002528005,0.00116668,0.002517384],"category_scores_gemma":[0.00203801,0.0007393326,0.001343644,0.00377781,0.0006162849,0.002429528,0.0007481623,0.001332436,0.001040606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007266818,"about_ca_system_score_gemma":0.001186533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00267456,"about_ca_topic_score_gemma":0.003270992,"domain_scores_codex":[0.9993753,0.000205275,0.00005949085,0.0000892848,0.0002351209,0.00003556483],"domain_scores_gemma":[0.9989065,0.0007335453,0.0001015757,0.00004907867,0.0001901122,0.00001919238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000110662,0.0002720919,0.0007687585,0.008559399,0.0002917198,0.0001496752,0.00006523632,0.1881022,0.0008174952,0.05617134,0.01718701,0.7275043],"study_design_scores_gemma":[0.0001153685,0.0004293009,0.002205391,0.004410528,0.000660591,0.001366203,0.000214848,0.4734235,0.002345377,0.1510206,0.3635916,0.0002168261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00288982,0.8813006,0.1036973,0.0009932631,0.0002856078,0.00005645026,0.0001630305,0.0001146818,0.01049923],"genre_scores_gemma":[0.04674818,0.9155775,0.03303477,0.0003274477,0.0005214233,0.00007503903,0.0003086847,0.00006646872,0.003340432],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002856866,"threshold_uncertainty_score":0.008421421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461908673538561,"score_gpt":0.2457129667967158,"score_spread":0.2210938800613302,"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."}}