{"id":"W2131326927","doi":"10.1109/ccece.2005.1556978","title":"Impacts of energy storage on power system reliability performance","year":2006,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Energy storage; Reliability engineering; Reliability (semiconductor); Renewable energy; Wind power; Electric power system; Computer science; Monte Carlo method; Energy (signal processing); Computer data storage; Electricity generation; Distributed generation; Power (physics); Engineering; Electrical engineering","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":[0.001262383,0.0003939359,0.0003961278,0.0003174247,0.0002731015,0.0005042833,0.0002448168,0.0004114963,0.001481213],"category_scores_gemma":[0.008549175,0.0001768112,0.0002280414,0.0003301159,0.0003297564,0.0009808177,0.0003304998,0.0003330917,0.000273245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508889,"about_ca_system_score_gemma":0.0002836082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214185,"about_ca_topic_score_gemma":0.001006457,"domain_scores_codex":[0.9992811,0.0002845052,0.00005834866,0.00006156098,0.0001988282,0.0001157138],"domain_scores_gemma":[0.9918954,0.00590677,0.0005543999,0.000472194,0.00102458,0.0001466263],"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":[0.00291082,0.000180831,0.02254731,0.0002323621,0.0001481993,0.0009425654,0.0002440654,0.866332,0.04510418,0.002680418,0.0009186763,0.0577585],"study_design_scores_gemma":[0.00008203249,0.002621473,0.01932044,0.00005094674,0.0001353358,0.001153187,0.0002146751,0.9017562,0.07071125,0.003102451,0.0007931326,0.00005887232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862499,0.0003567231,0.009895902,0.0001883757,0.00002139448,0.00001048642,0.0001166846,0.0003140273,0.002846344],"genre_scores_gemma":[0.9995553,0.00004040077,0.000211958,0.000006115098,0.000003218481,0.000002171859,0.00002960662,0.00001055596,0.0001407049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001481213,"threshold_uncertainty_score":0.006676197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00289475348097819,"score_gpt":0.1641477484810884,"score_spread":0.1612529950001102,"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."}}