{"id":"W2103807476","doi":"10.1109/pes.2007.386249","title":"Performance Comparison of Aggregated and Distributed Energy Storage Systems in a Wind Farm For Wind Power Fluctuation Suppression","year":2007,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Wind power; Electric power system; Energy storage; Environmental science; Distributed generation; Wind speed; Frequency deviation; Smoothing; Power (physics); Computer science; Meteorology; Renewable energy; Electrical engineering; Engineering; Physics; Automatic frequency control","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":[0.0004470237,0.0002218679,0.0003212772,0.00008460305,0.00005645784,0.00003415116,0.00008665166,0.0001783679,0.000001581262],"category_scores_gemma":[0.00002991852,0.0002364486,0.00008033381,0.0002525398,0.00001695126,0.0001233227,0.0000164979,0.0001421842,1.74893e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211457,"about_ca_system_score_gemma":0.000009609514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003073027,"about_ca_topic_score_gemma":0.000004185843,"domain_scores_codex":[0.9987506,0.00001283242,0.0005016842,0.0002014708,0.00015778,0.0003756704],"domain_scores_gemma":[0.9995315,0.00009341416,0.0000995615,0.0001234158,0.00008415309,0.0000679255],"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":[0.00001627127,0.00001365196,0.001089115,0.0001465771,0.00003377365,4.140618e-7,0.0008073373,0.7933766,0.2035332,0.00001024697,0.0001052625,0.0008675099],"study_design_scores_gemma":[0.0008025387,0.00004394136,0.002453276,0.0002353819,0.00001627991,0.000002487981,0.0001763452,0.9686606,0.0266253,6.30072e-7,0.0007448719,0.000238378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8056451,0.002474048,0.1907149,0.000005236347,0.0008008126,0.0001983454,0.0000202505,0.0001222266,0.00001906214],"genre_scores_gemma":[0.9957119,0.0001149196,0.003923919,0.00000581848,0.0001038891,0.000009804463,0.00007151069,0.00004806517,0.00001014745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1900668,"threshold_uncertainty_score":0.9642094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00573272963390098,"score_gpt":0.2082556832134654,"score_spread":0.2025229535795644,"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."}}