{"id":"W2657873105","doi":"10.3390/en10070835","title":"Economic Optimization of Component Sizing for Residential Battery Storage Systems","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Technische Universität München; Nanyang Technological University","keywords":"Photovoltaic system; Sizing; Battery (electricity); Energy storage; Automotive engineering; State of charge; Dimensioning; Reliability engineering; Engineering; Computer science; Process engineering; Electrical engineering; Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006665797,0.00085201,0.0006752937,0.0007312009,0.0002725077,0.001127174,0.0004923217,0.000501713,0.003329919],"category_scores_gemma":[0.001441887,0.0005374695,0.0005899854,0.0008089365,0.0003821276,0.0005847726,0.0003773441,0.0004819303,0.0003308781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217991,"about_ca_system_score_gemma":0.001020464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00316887,"about_ca_topic_score_gemma":0.005195494,"domain_scores_codex":[0.9997254,0.0001129325,0.000009985545,0.00003364435,0.00008310618,0.00003489036],"domain_scores_gemma":[0.9996639,0.0002347482,0.00003276226,0.00001462958,0.00004388106,0.00001001907],"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":[0.00004046372,0.00002393268,0.0001603812,0.00004627316,0.00001074326,0.00002011964,0.00000941847,0.9866328,0.001430082,0.001958464,0.0002505134,0.009416687],"study_design_scores_gemma":[0.000007071152,0.00003662224,0.0002207875,0.000004993097,0.000009105458,0.000008374745,0.00001412915,0.9973528,0.0007079176,0.001227411,0.0004067451,0.000004059622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2227049,0.001688843,0.7335541,0.0003781308,0.00006712232,0.0003036387,0.0004110568,0.0003967287,0.04049558],"genre_scores_gemma":[0.9374331,0.0004708459,0.05637779,0.00003966374,0.00001467069,0.0001797993,0.0001684479,0.00007142749,0.005244367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003329919,"threshold_uncertainty_score":0.01113975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041232391521709,"score_gpt":0.2693943808004312,"score_spread":0.2489820568852141,"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."}}