{"id":"W3011707620","doi":"10.1109/tsg.2020.2979435","title":"Demand Response Cooperative and Demand Charge","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Demand response; Schedule; Mathematical optimization; Operations research; Electricity market; Electricity; Probabilistic logic; Scheduling (production processes); Computer science; Linear programming; Piecewise linear function; Stochastic optimization; Engineering; Mathematics; Electrical 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":[0.00124368,0.0007532196,0.0006545678,0.0002870691,0.0005916514,0.001815982,0.001780263,0.001385631,0.01657543],"category_scores_gemma":[0.003335746,0.0003462006,0.0007896601,0.0007421902,0.0008820918,0.002836581,0.00173048,0.001352504,0.001779534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279177,"about_ca_system_score_gemma":0.001187517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002864989,"about_ca_topic_score_gemma":0.002004708,"domain_scores_codex":[0.9983202,0.0005280672,0.00004109941,0.0003573967,0.0004404689,0.0003127828],"domain_scores_gemma":[0.9987502,0.0004361535,0.0002380142,0.0002019856,0.000263689,0.0001099558],"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":[0.0002751343,0.0002856092,0.002608827,0.0002131408,0.00005337676,0.0007179804,0.0003857006,0.4952407,0.005394431,0.439042,0.01067059,0.04511258],"study_design_scores_gemma":[0.00006799823,0.0003029839,0.001116593,0.00001983298,0.00003764083,0.0005881405,0.0003236337,0.8822383,0.002124204,0.08992581,0.02321297,0.00004188794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09061556,0.0003805812,0.8139904,0.00206112,0.0002044514,0.0002193741,0.000382924,0.0004459718,0.09169967],"genre_scores_gemma":[0.936433,0.0002073474,0.02872155,0.000391333,0.0001075616,0.0001513881,0.0001953768,0.00008361993,0.0337088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01657543,"threshold_uncertainty_score":0.05545032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445524530868801,"score_gpt":0.2055982588610046,"score_spread":0.1911430135523166,"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."}}