{"id":"W3134671042","doi":"10.1016/j.seta.2021.101104","title":"Design and mixed integer linear programming optimization of a solar/battery based Conex for remote areas and various climate zones","year":2021,"lang":"en","type":"article","venue":"Sustainable Energy Technologies and Assessments","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Photovoltaic system; Charge controller; Sizing; Battery (electricity); Pareto principle; Computer science; Integer programming; Automotive engineering; Linear programming; Environmental science; Mathematical optimization; Power (physics); Electrical engineering; Mathematics; Engineering; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004005038,0.0002694551,0.0004270821,0.0002300233,0.0002582812,0.0001442104,0.0001328899,0.0002714711,0.000004797451],"category_scores_gemma":[0.0002599763,0.0002572949,0.00004655275,0.0003452159,0.0001963307,0.0002149572,0.0003336231,0.0001051957,5.424891e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006541195,"about_ca_system_score_gemma":0.0001665785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027599,"about_ca_topic_score_gemma":0.00008938275,"domain_scores_codex":[0.9982525,0.0001062677,0.0003942036,0.0005187738,0.000160582,0.0005677385],"domain_scores_gemma":[0.9987804,0.0002337489,0.0002400012,0.0003384381,0.0003491686,0.00005822417],"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":[0.0002372233,0.0002059475,0.0008415671,0.001696776,0.0003652028,0.0003049593,0.00006913758,0.624172,0.001307081,0.05143045,0.0001177548,0.3192519],"study_design_scores_gemma":[0.002220403,0.0005486827,0.00003296169,0.0003175623,0.0001343085,0.00007264398,0.012781,0.8861113,0.07984276,0.004819555,0.01256169,0.0005571733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0213262,0.001286635,0.9762385,0.0002765027,0.00009525291,0.0002477526,0.000006156884,0.0003218266,0.0002011436],"genre_scores_gemma":[0.7797912,0.00100014,0.2179799,0.00004482437,0.00002222069,0.0001515306,0.0000841853,0.00005941351,0.0008666255],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.758465,"threshold_uncertainty_score":0.9999879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331146200359913,"score_gpt":0.2580879850553049,"score_spread":0.2447765230517058,"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."}}