{"id":"W4245429995","doi":"10.32920/ryerson.14653608","title":"Microgrid system including PV generation and hybrid backup system","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Backup; Photovoltaic system; Microgrid; Energy storage; Controller (irrigation); Computer science; Grid; Hybrid system; Control engineering; Engineering; Automotive engineering; Embedded system; Power (physics); Electrical engineering; Renewable energy; Operating system","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":[0.0001141917,0.0005047009,0.0006029432,0.0002500327,0.0005380646,0.0009775716,0.0005824166,0.000346779,0.008541007],"category_scores_gemma":[0.0001175961,0.0002332608,0.0004615777,0.0003486862,0.0001578499,0.0007738877,0.0007219858,0.0004067012,0.002585778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003408626,"about_ca_system_score_gemma":0.0004259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316084,"about_ca_topic_score_gemma":0.001377637,"domain_scores_codex":[0.9998825,0.00002091327,0.000008577877,0.00003437056,0.00002863045,0.00002504294],"domain_scores_gemma":[0.9999459,0.000005683059,0.000005058967,0.00001121893,0.00002234621,0.000009893884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006961395,0.000302615,0.00654599,0.001261219,0.000275786,0.002311103,0.000631718,0.2973064,0.07570972,0.03799694,0.04902567,0.5279368],"study_design_scores_gemma":[0.0001308285,0.0009900393,0.004535911,0.0001422527,0.0001697875,0.001556495,0.0004144567,0.7931492,0.02789219,0.01326668,0.1576625,0.00008970361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2554975,0.005068329,0.5408843,0.001777429,0.001443736,0.0005388022,0.001219583,0.01308279,0.1804875],"genre_scores_gemma":[0.9247877,0.001973014,0.02767561,0.0001545837,0.0002118069,0.0001816405,0.0005095794,0.000132078,0.04437396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008541007,"threshold_uncertainty_score":0.02857256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444077764796341,"score_gpt":0.1895377102576264,"score_spread":0.175096932609663,"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."}}