{"id":"W3047359380","doi":"10.6001/energetika.v66i1.4294","title":"Optimal energy management system for distribution systems using simultaneous integration of PV-based DG and DSTATCOM units","year":2020,"lang":"en","type":"article","venue":"Energetika","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Particle swarm optimization; Photovoltaic system; Acceleration; Control theory (sociology); Distributed generation; Computer science; Mathematical optimization; Energy management system; Energy management; Energy (signal processing); Algorithm; Engineering; Mathematics; Renewable energy; Electrical engineering; Physics","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":[0.00005451432,0.0001203003,0.0001716213,0.00003492976,0.00004360485,0.00003088504,0.00005306895,0.00005486111,0.000001302828],"category_scores_gemma":[0.00001717363,0.0001187555,0.00002835873,0.0001656564,0.00001128116,0.00005290303,0.00001120784,0.00002998768,2.712214e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006955905,"about_ca_system_score_gemma":0.000009154905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003239091,"about_ca_topic_score_gemma":0.000002352056,"domain_scores_codex":[0.9993941,0.00002321457,0.0002386742,0.0001311827,0.00008473319,0.0001281542],"domain_scores_gemma":[0.9996693,0.00004471454,0.00005615987,0.00007621244,0.00009792186,0.00005573989],"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":[0.00004074425,0.000004959224,0.000004616441,0.0004124756,0.00003502579,0.000003198206,0.00004517641,0.9853042,0.007697689,0.002277688,0.00007186278,0.004102372],"study_design_scores_gemma":[0.0005189663,0.00004445966,0.000002903131,0.00008727297,0.0000558053,0.000001483373,0.0001729239,0.9835232,0.01089526,0.000001158229,0.004583354,0.0001131859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02252218,0.001204812,0.9755557,0.00001939405,0.0002126592,0.0001831425,0.0001202659,0.0001426231,0.00003923982],"genre_scores_gemma":[0.9930624,0.00007340866,0.006333285,0.00001166266,0.00008530253,0.00002658525,0.0003734495,0.00002207504,0.00001188128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9705402,"threshold_uncertainty_score":0.484271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066927458591676,"score_gpt":0.1847403719479317,"score_spread":0.1740710973620149,"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."}}