{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005414765,0.000200907,0.0003428682,0.0002821492,0.00004511646,0.00001129096,0.00009882763,0.000291461,4.568356e-7],"category_scores_gemma":[0.000002503295,0.0002291896,0.000033155,0.00005050013,0.0001109872,0.00003627321,0.00007449106,0.0001309954,2.754529e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007755905,"about_ca_system_score_gemma":0.00001040037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007389992,"about_ca_topic_score_gemma":0.000001224152,"domain_scores_codex":[0.9992679,0.00000441733,0.0003901838,0.0001610765,0.00007211616,0.0001043106],"domain_scores_gemma":[0.9995338,0.00000921555,0.0001294508,0.0002236832,0.00006839437,0.0000354373],"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":[0.000007332832,0.000002598077,0.000003023217,0.001604051,0.0001814867,0.000005944611,0.00002542867,0.5435159,0.002431873,0.444656,0.000003311344,0.007563142],"study_design_scores_gemma":[0.0004013976,0.00002854319,8.298189e-7,0.00133505,0.0001772083,0.00004818682,0.000042758,0.9889382,0.006371619,0.000038742,0.00242495,0.0001925764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004903005,0.03023571,0.9289457,0.00004302914,0.0004416741,0.0008119673,0.00007328374,0.002817169,0.03172851],"genre_scores_gemma":[0.9799914,0.001069717,0.01872074,0.000001854085,0.00001994791,0.00001739036,0.00001803681,0.00004022525,0.0001206307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9750885,"threshold_uncertainty_score":0.934608,"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."}}