{"id":"W4230431013","doi":"10.1049/pbpo160e_ch7","title":"Energy management system of a microgrid using particle swarm optimization (PSO) and communication system","year":2020,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Particle swarm optimization; Energy management system; Hierarchy; Energy management; Computer science; Energy (signal processing); Control engineering; Engineering; Mathematical optimization; Algorithm; Control (management); Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008606875,0.0004241922,0.0002897732,0.000233209,0.0002898893,0.0008065754,0.0002952213,0.0003749194,0.008114981],"category_scores_gemma":[0.0001010285,0.0001562011,0.0002554515,0.0003485484,0.0001624253,0.0005975922,0.0003490093,0.0003729824,0.002322028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221087,"about_ca_system_score_gemma":0.000344665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009376094,"about_ca_topic_score_gemma":0.001340274,"domain_scores_codex":[0.9999532,0.000008391728,0.000002869664,0.000009714025,0.00002238895,0.00000352329],"domain_scores_gemma":[0.999982,0.00000466402,0.000001671659,0.000002863899,0.000006726592,0.000002152034],"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":[0.00007415158,0.0001007459,0.0006389771,0.0006099549,0.0000491326,0.0004570241,0.0003696182,0.1784872,0.0279707,0.1082397,0.04845051,0.6345524],"study_design_scores_gemma":[0.00002368431,0.000202066,0.001381818,0.0002168303,0.00004099403,0.000632278,0.0001721779,0.4716084,0.009221713,0.0385155,0.4779497,0.0000347788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01932853,0.008984058,0.6843984,0.0009588434,0.0005767915,0.0001937588,0.0002430446,0.00228257,0.283034],"genre_scores_gemma":[0.2733012,0.02026861,0.3616401,0.0004458261,0.0004201518,0.0003595991,0.0006263964,0.000412888,0.3425252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008114981,"threshold_uncertainty_score":0.02714735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005785158136300881,"score_gpt":0.1561675374829627,"score_spread":0.1503823793466619,"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."}}