{"id":"W3194204426","doi":"10.1016/j.ress.2021.107960","title":"Risk-averse maintenance scheduling of generation units in combined heat and power systems with demand response","year":2021,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Okanagan University College; University of British Columbia","funders":"FortisBC; Mitacs","keywords":"Demand response; Scheduling (production processes); Reliability engineering; Operations research; Computer science; Mathematical optimization; Engineering; Operations management; Mathematics; Electrical engineering; Electricity","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00242687,0.0009854143,0.001698524,0.0005125671,0.0005237415,0.00124941,0.001408133,0.001130356,0.002845972],"category_scores_gemma":[0.007560997,0.001170568,0.0005231884,0.0003477933,0.0007307139,0.001392585,0.001179517,0.001342959,0.0002146234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246399,"about_ca_system_score_gemma":0.001360111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007919263,"about_ca_topic_score_gemma":0.006521887,"domain_scores_codex":[0.9990627,0.0003988251,0.00003664217,0.0001445499,0.0000887895,0.0002683925],"domain_scores_gemma":[0.9930119,0.005284962,0.0006681242,0.0001475114,0.0003394963,0.0005480454],"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":[0.0005926018,0.00008857289,0.0009270685,0.0000299815,0.00004395892,0.00009736729,0.00005097647,0.9915581,0.0008470938,0.001997288,0.0003284351,0.00343855],"study_design_scores_gemma":[0.0000265314,0.0001002112,0.0004575769,0.00000269194,0.00001278948,0.00001242382,0.00002733917,0.9978037,0.0001987464,0.001315886,0.0000362996,0.000005748685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.808561,0.0003430609,0.1858734,0.0007658195,0.00008658822,0.0001775083,0.0001970065,0.0002129819,0.003782727],"genre_scores_gemma":[0.9966184,0.00003178186,0.002614981,0.00001787588,0.00001515463,0.00001543954,0.0000300006,0.0000134857,0.0006428453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007919263,"threshold_uncertainty_score":0.0157463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00499516119004559,"score_gpt":0.171299169634958,"score_spread":0.1663040084449124,"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."}}