{"id":"W7127280435","doi":"10.1109/ccece64018.2025.11364495","title":"Enhancing Microgrid Efficiency via a Novel Hybrid ICA-PSO Approach for Demand Response","year":2025,"lang":"","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Microgrid; Particle swarm optimization; Adaptability; Demand response; Reliability (semiconductor); MATLAB; Power (physics); Voltage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001416801,0.0006023062,0.000688504,0.00048626,0.0004168794,0.0002819206,0.000460206,0.0002552387,0.0001106038],"category_scores_gemma":[0.0002997451,0.0006230367,0.0003838153,0.0007358937,0.00008602975,0.0002232797,0.0001396793,0.0003216506,0.00002389409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241824,"about_ca_system_score_gemma":0.0002235948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002370589,"about_ca_topic_score_gemma":0.000006874862,"domain_scores_codex":[0.9967819,0.00009292668,0.0010381,0.0008701067,0.0002041762,0.001012735],"domain_scores_gemma":[0.9982893,0.0005405835,0.0001269676,0.0006186641,0.0002496835,0.0001748374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001763491,0.0004798069,0.00001821909,0.0007992266,0.0003134245,0.000002698555,0.0003020652,0.3995003,0.5790412,0.0003471781,0.001340702,0.01609168],"study_design_scores_gemma":[0.003295002,0.0001305819,0.00006533149,0.000122361,0.0002439114,0.00001887736,0.00009515561,0.8306794,0.1535789,0.00003692601,0.01118432,0.0005492442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007892899,0.01228178,0.9743472,0.000302676,0.0009751508,0.001955427,0.00008702085,0.000330717,0.001827102],"genre_scores_gemma":[0.7395408,0.0006778429,0.2545375,0.0005089997,0.000351626,0.0003529594,0.0001045243,0.0001231554,0.003802697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7316478,"threshold_uncertainty_score":0.9996221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005139038450305547,"score_gpt":0.2081829757897881,"score_spread":0.2030439373394826,"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."}}