{"id":"W3173404986","doi":"10.20998/2074-272x.2021.3.09","title":"Simultaneous optimal integration of photovoltaic distributed generation and battery energy storage system in active distribution network using chaotic grey wolf optimization","year":2021,"lang":"en","type":"article","venue":"Electrical Engineering & Electromechanics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Photovoltaic system; Mathematical optimization; Computer science; Distributed generation; Energy storage; Robustness (evolution); Optimization problem; Particle swarm optimization; Convergence (economics); Power (physics); Engineering; Renewable energy; Algorithm; Electrical 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":[0.0001547001,0.0002849944,0.0003890009,0.0001550428,0.00006324753,0.00004696084,0.0000767875,0.0002294334,0.000005986325],"category_scores_gemma":[0.0001361893,0.0003369565,0.00005355949,0.001289063,0.000007410615,0.0002106581,0.00002399451,0.0002928636,2.820813e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007808126,"about_ca_system_score_gemma":0.00006011238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002753955,"about_ca_topic_score_gemma":0.00001695425,"domain_scores_codex":[0.998497,0.00007147258,0.0004732274,0.0002819208,0.0001922294,0.0004841627],"domain_scores_gemma":[0.9993564,0.0001178525,0.00009163225,0.0001608665,0.0001871666,0.00008601075],"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":[0.00002424757,0.00001995379,0.000001546645,0.00003789412,0.00003123926,0.00001221246,0.00002242417,0.6927412,0.3048129,0.0003269693,0.000007241308,0.001962156],"study_design_scores_gemma":[0.000411424,0.00009432651,0.00001558034,0.0000728545,0.00005978089,0.00006404185,0.00001121562,0.9097681,0.08921026,0.000006952921,0.00002327377,0.0002621876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1248496,0.001820114,0.8727501,0.000003765054,0.0001776443,0.0001620899,0.0000379246,0.0001970193,0.000001745654],"genre_scores_gemma":[0.9888875,0.0007209114,0.009047994,0.000007511208,0.0001494207,0.00002055747,0.001107272,0.00005610731,0.000002763541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8640379,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004493965426903767,"score_gpt":0.1706626940788517,"score_spread":0.1661687286519479,"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."}}