{"id":"W2606185087","doi":"10.1109/tste.2017.2692754","title":"A Sustainable Energy Management System for Isolated Microgrids","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Benchmark (surveying); Energy management; Generator (circuit theory); Fossil fuel; Computer science; Engineering; Automotive engineering; Energy (signal processing); Operations research; Reliability engineering; Voltage; Electrical engineering; Power (physics); Mathematics; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002958753,0.0007083143,0.0004822012,0.0003414895,0.0005995156,0.001020417,0.0007921261,0.0004330006,0.006189909],"category_scores_gemma":[0.0003611042,0.0001646561,0.0004005744,0.0005532459,0.0002077012,0.0009715765,0.0009036099,0.0004716821,0.001318832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006656044,"about_ca_system_score_gemma":0.00133686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371131,"about_ca_topic_score_gemma":0.003955522,"domain_scores_codex":[0.9998468,0.00003839174,0.000007751186,0.00004014651,0.00005244993,0.00001446659],"domain_scores_gemma":[0.9998804,0.00002021084,0.00001460491,0.00002086824,0.00004854607,0.00001531577],"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":[0.0001910763,0.0003045606,0.002596072,0.000438781,0.0001538276,0.0006447124,0.0001467014,0.6741246,0.01510756,0.05406361,0.01258137,0.2396472],"study_design_scores_gemma":[0.00003902184,0.0001820169,0.0008786109,0.00003985429,0.00005058381,0.0001375513,0.0001090474,0.9466358,0.003952023,0.0169621,0.03098937,0.00002397207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1078838,0.001008976,0.8189458,0.0008287086,0.0002681319,0.0004897062,0.0008532518,0.005396607,0.06432517],"genre_scores_gemma":[0.8926442,0.0006679372,0.08992056,0.0001346335,0.00004398433,0.0003730935,0.0007814073,0.0001218151,0.01531238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006189909,"threshold_uncertainty_score":0.02070731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004129817140963562,"score_gpt":0.1880570527160793,"score_spread":0.1839272355751157,"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."}}