{"id":"W2329086130","doi":"10.1109/icit.2014.6894988","title":"Large-scale PV systems with energy storage utilizing high-gain DC/DC converters","year":2014,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Photovoltaic system; Converters; Transient (computer programming); Energy storage; Grid-connected photovoltaic power system; Maximum power point tracking; Computer science; Power (physics); Electric power system; Electronic engineering; Interconnection; Voltage; Electrical engineering; Engineering; Physics; Telecommunications; Inverter","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":[0.00009333381,0.0002188347,0.0002762585,0.0001283767,0.000305383,0.0004583511,0.0005188987,0.0002665084,0.002030806],"category_scores_gemma":[0.0001129183,0.000118009,0.0001485967,0.0004191807,0.0001456769,0.000646219,0.0002588123,0.0003303089,0.0003628558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145,"about_ca_system_score_gemma":0.0002071372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007749005,"about_ca_topic_score_gemma":0.001999505,"domain_scores_codex":[0.9999309,0.0000121891,0.000004208905,0.00001539445,0.00003093177,0.000006499265],"domain_scores_gemma":[0.9999465,0.00001572358,0.000006312379,0.00001076062,0.00001729878,0.000003456537],"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":[0.0004266153,0.0004083962,0.003159746,0.0006661438,0.0001395356,0.0005928568,0.0001350217,0.4502986,0.2170585,0.0118177,0.003243161,0.3120538],"study_design_scores_gemma":[0.00009410059,0.0004609901,0.002482419,0.00003581988,0.00004830579,0.0004345229,0.00006485146,0.9156834,0.06636647,0.005894239,0.008411594,0.00002325114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2964361,0.001617252,0.6648317,0.000333735,0.00009630836,0.0002240302,0.0001995917,0.001390948,0.0348704],"genre_scores_gemma":[0.9658056,0.0002816577,0.03079494,0.00002511655,0.0000172878,0.00003859997,0.00004848494,0.00001464754,0.002973678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002030806,"threshold_uncertainty_score":0.006793797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008198827016421394,"score_gpt":0.2054651247052371,"score_spread":0.1972662976888157,"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."}}