{"id":"W3194561715","doi":"10.37899/journallamultiapp.v2i3.383","title":"Advanced Control And Development of Hydro and Diesel Generator Hybrid Power System Models for Renewable Energy Microgrids","year":2021,"lang":"en","type":"article","venue":"Journal La Multiapp","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diesel generator; Per capita; Renewable energy; Electricity; Automotive engineering; Electric power system; Power (physics); Electricity generation; Electric power; Hybrid power; Generator (circuit theory); Engineering; Diesel fuel; Electrical engineering; Economics; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002762377,0.0005596647,0.0004468109,0.0002436932,0.0002939403,0.0007753806,0.0005646322,0.0005091684,0.002769596],"category_scores_gemma":[0.0004858375,0.000269854,0.0006391613,0.0002129962,0.000223845,0.0003990706,0.0004208379,0.0006649526,0.0004840899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339493,"about_ca_system_score_gemma":0.0004645638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007818426,"about_ca_topic_score_gemma":0.006875464,"domain_scores_codex":[0.9998925,0.00002923315,0.000007645102,0.00002069571,0.00003710998,0.0000128931],"domain_scores_gemma":[0.999845,0.00005782631,0.00002387452,0.00001141838,0.00005667411,0.000005289915],"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":[0.00002713327,0.0000190661,0.0003288812,0.00009459854,0.00002316151,0.000068774,0.00005193379,0.9813625,0.002244588,0.002533562,0.0003368424,0.01290886],"study_design_scores_gemma":[0.000003401655,0.00002390604,0.0001030677,0.000006933813,0.000004997492,0.000009658169,0.000007991707,0.9982575,0.0004470143,0.0003437012,0.0007894373,0.000002419521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05912733,0.001024098,0.9082721,0.0002312926,0.0001679859,0.0001768966,0.000269098,0.0008912648,0.02983992],"genre_scores_gemma":[0.9537095,0.0006175197,0.03604195,0.00003482967,0.00002404443,0.000244731,0.000186238,0.00004831293,0.009092842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007818426,"threshold_uncertainty_score":0.01554585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009396790008498204,"score_gpt":0.2148594216150223,"score_spread":0.2054626316065241,"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."}}