{"id":"W4401206300","doi":"10.2316/j.2024.203-0533","title":"IMPROVED PSO ALGORITHM APPLICATION RESEARCH FOR NEW ENERGY CONSUMPTION IN MICROGRID COMBINATION OPTIMISATION MODEL, 1-11.","year":2024,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Microgrid; Particle swarm optimization; Energy consumption; Consumption (sociology); Computer science; Electric energy consumption; Energy (signal processing); Mathematical optimization; Operations research; Algorithm; Engineering; Artificial intelligence; Electric energy; Electrical engineering; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001289587,0.0002044764,0.0003232445,0.001008555,0.00008405778,0.0003360552,0.0003414018,0.0002279146,0.00001195377],"category_scores_gemma":[0.00004523601,0.0001795167,0.0001414309,0.0002303104,0.00006113094,0.0005195933,0.0000558299,0.0001615579,0.000001936983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005995887,"about_ca_system_score_gemma":0.000339125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053236,"about_ca_topic_score_gemma":0.001823843,"domain_scores_codex":[0.9975881,0.0001642016,0.0009440049,0.0003378241,0.0006452344,0.0003206162],"domain_scores_gemma":[0.9984697,0.0002353381,0.0002831627,0.0001562214,0.0006856219,0.0001700077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003368428,0.0003030822,0.0002437696,0.0001556383,0.0006058255,0.0000596703,0.001804258,0.1865644,0.03299502,0.4437936,0.009355629,0.3237822],"study_design_scores_gemma":[0.001320862,0.0001546757,0.0000572099,0.000382009,0.00001941892,0.0002307826,0.0002156503,0.7076427,0.00170112,0.003353791,0.2847242,0.0001976435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01333579,0.01077814,0.9650408,0.0009338315,0.0082158,0.0001460019,0.0000350418,0.00005744212,0.001457176],"genre_scores_gemma":[0.9925136,0.001033118,0.001258668,0.00004633603,0.00142367,0.00007312434,0.00008693177,0.0000464574,0.003518076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9791778,"threshold_uncertainty_score":0.98599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837359056272253,"score_gpt":0.3176804710964413,"score_spread":0.2893068805337187,"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."}}