{"id":"W3126257330","doi":"10.1109/epec48502.2020.9320006","title":"Design and Analysis of a Stand-alone DC Hybrid Microgrid for a Rural Base Transceiver Station in Nigeria","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Microgrid; Renewable energy; Base station; Transceiver; Environmental economics; Automotive engineering; Engineering; Electrical engineering; Telecommunications; Wireless; Economics","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":[0.0001422789,0.0004466314,0.0004029303,0.0001975121,0.000456275,0.0007789214,0.0004899526,0.0003463578,0.002316143],"category_scores_gemma":[0.0001314669,0.000226747,0.0002881822,0.0001548999,0.0002398988,0.0002690289,0.0002879518,0.0002041926,0.0002945092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537111,"about_ca_system_score_gemma":0.0006616126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004514983,"about_ca_topic_score_gemma":0.006805942,"domain_scores_codex":[0.999925,0.00001783969,0.000003093447,0.00001535202,0.00002382839,0.00001489792],"domain_scores_gemma":[0.9999433,0.00001154896,0.00001163287,0.000003649124,0.00002014925,0.000009704871],"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":[0.0002824241,0.0001093402,0.003841366,0.0003580813,0.00006511526,0.0009558603,0.0001507404,0.9241217,0.04013465,0.00285352,0.001047875,0.02607938],"study_design_scores_gemma":[0.00003453179,0.0005869534,0.001537022,0.00001979357,0.0000531663,0.0001568015,0.0002211876,0.988807,0.005644385,0.0004560047,0.002470854,0.00001239314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6353875,0.0008192795,0.3105673,0.0003874931,0.00009482369,0.0006015116,0.0002424491,0.0007382839,0.05116124],"genre_scores_gemma":[0.9859839,0.0001705975,0.009580637,0.00001688759,0.000004617034,0.00007527167,0.00003486877,0.0000121384,0.00412113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004514983,"threshold_uncertainty_score":0.008977413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523947496237875,"score_gpt":0.2202073297974894,"score_spread":0.2049678548351107,"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."}}