{"id":"W4387005236","doi":"10.1109/pesgm52003.2023.10253238","title":"A Data-Driven Polynomial Chaos Expansion-Based Method for Microgrid Ramping Support Capability Assessment and Enhancement","year":2023,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chromatin structure remodeling (RSC) complex; Microgrid; Renewable energy; Computer science; Scheduling (production processes); Grid; Polynomial chaos; Polynomial; Mathematical optimization; Automotive engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005637268,0.0001531194,0.0002235789,0.00008486315,0.00008119267,0.00005772403,0.0001547785,0.00006081586,0.000145583],"category_scores_gemma":[0.00001972765,0.0001439442,0.00004425405,0.0001272519,0.00001625702,0.0001203827,0.00007731873,0.00006995308,0.000009404599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007193337,"about_ca_system_score_gemma":0.00007341946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002570537,"about_ca_topic_score_gemma":0.00004394366,"domain_scores_codex":[0.9989541,0.00002944675,0.0002834325,0.0003394891,0.0001042717,0.0002893162],"domain_scores_gemma":[0.999301,0.0001639155,0.00003137365,0.000386522,0.00004058229,0.00007665541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001051869,0.0001332669,0.0008450362,0.000673498,0.0002681211,0.000006004203,0.0004618079,0.3012035,0.2942647,0.00005279824,0.04312945,0.3588566],"study_design_scores_gemma":[0.0009844949,0.00005032626,0.0004489705,0.00001088781,0.00003420915,8.075534e-7,0.00007941559,0.9764158,0.008987235,0.000008726953,0.01280661,0.0001725371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02700645,0.00009971071,0.9703628,0.0004093185,0.0003859447,0.0008688233,0.0002677454,0.000466553,0.0001326858],"genre_scores_gemma":[0.3320106,0.0002792629,0.6634026,0.0004316465,0.0003387978,0.0005045477,0.002806056,0.00007864854,0.0001478668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6752123,"threshold_uncertainty_score":0.5869874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904573351500786,"score_gpt":0.3183264379313908,"score_spread":0.2892807044163829,"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."}}