{"id":"W1550958126","doi":"10.1109/tste.2015.2456752","title":"Optimal Design of Solar PV Farms With Storage","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Energy storage; Mathematical optimization; Solar power; Provisioning; Computer science; Solar energy; Context (archaeology); Distributed generation; Photovoltaic system; Thermal energy storage; Power (physics); Reliability engineering; Renewable energy; Engineering; Electrical engineering; Mathematics; Telecommunications","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":[0.0009576109,0.001011918,0.001457498,0.0003970198,0.0004823883,0.001989378,0.001268297,0.001939691,0.006136036],"category_scores_gemma":[0.002648208,0.00117217,0.0005823605,0.0005970232,0.0008194739,0.001205467,0.001283882,0.0009151289,0.0005288893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148835,"about_ca_system_score_gemma":0.001130088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003309542,"about_ca_topic_score_gemma":0.003089348,"domain_scores_codex":[0.9993938,0.0002121311,0.00002234189,0.0001318371,0.0001110594,0.0001287272],"domain_scores_gemma":[0.9992765,0.0003543746,0.0001200706,0.00003742511,0.0001401731,0.00007151879],"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":[0.00008642573,0.00003381161,0.0002534925,0.00008247305,0.00002156327,0.00009120336,0.00001793823,0.9885194,0.002232149,0.003982224,0.0005692149,0.004110152],"study_design_scores_gemma":[0.00003886779,0.00006244798,0.000155735,0.000009517944,0.000009136476,0.00001227637,0.00002212136,0.9948639,0.0005412463,0.003739616,0.0005380673,0.000007096764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1562472,0.001558757,0.7917269,0.001526285,0.0002026248,0.0004338663,0.0006194735,0.0005555636,0.04712934],"genre_scores_gemma":[0.9766567,0.0002865761,0.0189269,0.00008165066,0.00002287166,0.0001706199,0.00007847192,0.00004858192,0.003727688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006136036,"threshold_uncertainty_score":0.02052706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848921583022834,"score_gpt":0.2189281533379777,"score_spread":0.2004389375077494,"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."}}