{"id":"W3031264284","doi":"10.1109/tpwrs.2020.2998097","title":"Measurement-Based Optimal DER Dispatch With a Recursively Estimated Sensitivity Model","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Phasor; Sensitivity (control systems); AC power; Control theory (sociology); Mathematical optimization; Electric power system; Phasor measurement unit; Linear programming; Computer science; Scalability; Voltage; Distributed generation; Power (physics); Engineering; Electronic 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":[0.0001963218,0.0003549283,0.0003359613,0.00008415925,0.0001259544,0.00009116222,0.0001047929,0.0001443933,0.00001596701],"category_scores_gemma":[0.000007229125,0.0003430992,0.000108284,0.0003826839,0.00004673855,0.0002393932,6.736727e-7,0.0003631501,0.0001200662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289729,"about_ca_system_score_gemma":0.00009183187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004445175,"about_ca_topic_score_gemma":0.00002516279,"domain_scores_codex":[0.9982373,0.00007394385,0.0003049827,0.0003795409,0.0005972878,0.0004070086],"domain_scores_gemma":[0.9991291,0.00002847033,0.00004915427,0.0002861415,0.0002351009,0.0002719929],"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":[0.0001892682,0.00008968425,0.00001335463,0.0001178389,0.0001420989,0.00002996793,0.0001865916,0.9872243,0.01129932,0.000008308258,0.0006292816,0.00006995328],"study_design_scores_gemma":[0.0008159495,0.0002604268,0.0000481318,0.0002114165,0.0001035377,0.00001768046,0.00007282756,0.976775,0.02119337,3.070503e-7,0.0001101433,0.0003912184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0398671,0.00007639504,0.9571915,0.0002211367,0.0005261705,0.0005276366,0.0003541345,0.0009550042,0.0002809647],"genre_scores_gemma":[0.9977556,0.000002188302,0.001956819,0.00007720096,0.00001100044,0.00008783146,0.0000133348,0.00008550986,0.00001052267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9578885,"threshold_uncertainty_score":0.9999021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075506388420535,"score_gpt":0.2159317557723358,"score_spread":0.1851766918881305,"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."}}