{"id":"W4206424937","doi":"10.1109/pesgm46819.2021.9638017","title":"Demand Response Cooperative and Demand Charge","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Power &amp; Energy Society General Meeting (PESGM)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Schedule; Demand response; Mathematical optimization; Operations research; Computer science; Electricity; Electricity market; Scheduling (production processes); Probabilistic logic; Piecewise linear function; Linear programming; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001078747,0.0006014902,0.0005778491,0.00008302944,0.0004149212,0.0002425714,0.0002583876,0.0002988628,0.0004555138],"category_scores_gemma":[0.0001740402,0.0006438748,0.0003172134,0.0006158066,0.0001325265,0.0002222754,0.0002417675,0.00035939,0.00008213291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233012,"about_ca_system_score_gemma":0.00008801634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006064096,"about_ca_topic_score_gemma":0.0001973227,"domain_scores_codex":[0.9967727,0.0004470971,0.0005812238,0.0008404216,0.0004818526,0.0008767088],"domain_scores_gemma":[0.9983968,0.0002688755,0.00009186325,0.0007021334,0.0002235748,0.0003167424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000898327,0.00009845134,0.0005105091,0.00009477748,0.001030109,0.00007642435,0.004126403,0.5225735,0.3065405,0.001024261,0.1634095,0.0004257653],"study_design_scores_gemma":[0.00167735,0.00005711328,0.0007102031,0.0001937318,0.0001687946,0.00006715683,0.0004088619,0.05242202,0.1270128,0.000112274,0.8156307,0.001539058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944588,0.007287332,0.03597321,0.0009797279,0.002972802,0.0001388513,0.0000385254,0.0004458709,0.007575693],"genre_scores_gemma":[0.9162754,0.005468654,0.02687152,0.002735228,0.002011693,0.0001920594,0.0002268999,0.0003631501,0.04585535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6522211,"threshold_uncertainty_score":0.9996012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131333332740024,"score_gpt":0.2218735485707819,"score_spread":0.2105602152433816,"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."}}