{"id":"W2786474566","doi":"10.1109/pesgm.2017.8274229","title":"Available capacity based AGC signal distribution strategy with energy storage system","year":2017,"lang":"en","type":"article","venue":"","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Automatic Generation Control; Electric power system; Computer science; Dynamic demand; Frequency regulation; Automatic frequency control; Power control; Demand response; Power (physics); Energy storage; SIGNAL (programming language); Control theory (sociology); Wind power; Engineering; Electronic engineering; Control (management); Electrical engineering; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002008356,0.0002201953,0.0002632255,0.00003269581,0.0002383668,0.0002659954,0.0003374002,0.0001141098,0.0003053457],"category_scores_gemma":[0.000009397218,0.0001811304,0.00005016671,0.00004781719,0.0000639046,0.0003548164,0.0000118179,0.0001206431,0.0001837838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003419388,"about_ca_system_score_gemma":0.00005299495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310114,"about_ca_topic_score_gemma":0.0006490246,"domain_scores_codex":[0.9989026,0.00004037957,0.0002338739,0.0002297954,0.0002444523,0.000348885],"domain_scores_gemma":[0.9989014,0.00002908099,0.00008689902,0.0007696991,0.0000927392,0.0001201876],"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":[0.0001957473,0.0001949762,0.00605611,0.002583425,0.0009095939,0.000658066,0.0001098909,0.5843327,0.06992308,0.1682328,0.1640366,0.002767029],"study_design_scores_gemma":[0.001154766,0.0001305018,0.0007619119,0.0001960265,0.00003864502,0.00003245386,0.0000481703,0.9601848,0.01785237,0.0000188779,0.01907808,0.0005033743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01945067,0.0002529922,0.6716406,0.00002345857,0.0009327788,0.0002385316,0.0001713947,0.00111576,0.3061738],"genre_scores_gemma":[0.9976542,0.000001174905,0.0001787078,0.000007142476,0.0001462843,0.00005303289,0.00003840256,0.0000358862,0.00188517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9782035,"threshold_uncertainty_score":0.7386283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495091678901159,"score_gpt":0.1800663836079974,"score_spread":0.1651154668189858,"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."}}