{"id":"W3158561926","doi":"10.1007/s11269-021-02806-6","title":"Solving Hydropower Unit Commitment Problem Using a Novel Sequential Mixed Integer Linear Programming Approach","year":2021,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mathematical optimization; Integer programming; Computer science; Linear programming; Power system simulation; Integer (computer science); Computation; Convergence (economics); Nonlinear programming; Nonlinear system; Hydropower; Cascade; Mathematics; Power (physics); Algorithm; Electric power system; 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":[0.000761365,0.0008886504,0.001037195,0.0004181156,0.0003889161,0.001058909,0.001195937,0.001020901,0.005719569],"category_scores_gemma":[0.001371573,0.00074035,0.0007789102,0.0006972758,0.0002928366,0.0008146192,0.0007979456,0.001225011,0.000443105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004042731,"about_ca_system_score_gemma":0.001454558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004501293,"about_ca_topic_score_gemma":0.006827504,"domain_scores_codex":[0.9995908,0.0001349808,0.00002023179,0.00008229107,0.0001145999,0.00005698255],"domain_scores_gemma":[0.9993659,0.0004065144,0.00005838629,0.00002846519,0.0001021377,0.00003872111],"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":[0.00006994369,0.00009308707,0.000210174,0.0001061763,0.00004295639,0.00007602009,0.000025817,0.9564757,0.001957141,0.005113987,0.001136915,0.03469202],"study_design_scores_gemma":[0.000006672982,0.00001750244,0.00001877809,0.000001780053,0.000004153274,0.00000580906,0.000003857936,0.998913,0.0001474607,0.0006917641,0.0001874632,0.000001647471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01320436,0.0001342891,0.9806013,0.0001861454,0.00008274533,0.00008004418,0.00007035254,0.0002278505,0.005412861],"genre_scores_gemma":[0.4481036,0.0002814021,0.5425883,0.0002561182,0.0001400362,0.0004401413,0.0002671276,0.0001585765,0.007764586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005719569,"threshold_uncertainty_score":0.01913387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606669531143445,"score_gpt":0.2230498908296248,"score_spread":0.1969831955181904,"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."}}