{"id":"W2888878267","doi":"10.1109/tsg.2018.2868130","title":"Practical Energy Management Systems for Isolated Microgrids","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Energy management system; Linearization; Energy management; Benchmark (surveying); Electric power system; Voltage; Power system simulation; AC power; Computer science; Integer programming; Mathematical optimization; Control theory (sociology); Computation; Power (physics); Engineering; Energy (signal processing); Control engineering; Electrical engineering; Nonlinear system; Control (management); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001953406,0.0006446381,0.0003749084,0.0001599423,0.0003349019,0.000638153,0.0006511962,0.0004376416,0.004895365],"category_scores_gemma":[0.0005875889,0.0002023973,0.0002984685,0.0002553643,0.0003428939,0.0007657062,0.0005558027,0.0006335216,0.0005940692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006238795,"about_ca_system_score_gemma":0.0007201713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007039483,"about_ca_topic_score_gemma":0.009986196,"domain_scores_codex":[0.9998592,0.0000525643,0.000005646874,0.00002561865,0.00004427599,0.00001279065],"domain_scores_gemma":[0.9998871,0.00004134458,0.00001720063,0.00001672037,0.00003127995,0.000006441202],"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":[0.00002152074,0.00001930239,0.0002265388,0.00007407121,0.00001021422,0.00007151382,0.00004500554,0.9639193,0.001172468,0.01683945,0.00113886,0.01646174],"study_design_scores_gemma":[0.000007187433,0.00002477378,0.00008960928,0.000007247053,0.000004887513,0.00002285026,0.00002649184,0.9900511,0.0003199342,0.005570582,0.003871706,0.000003657877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04434426,0.0005532659,0.9143029,0.0004184876,0.00009666877,0.0001082799,0.0002398885,0.0008683602,0.03906789],"genre_scores_gemma":[0.9237376,0.0005853308,0.06228628,0.00007389744,0.00004377715,0.0001324038,0.0002710193,0.00008330291,0.01278641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007039483,"threshold_uncertainty_score":0.01637661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112049703764425,"score_gpt":0.2255263546183559,"score_spread":0.2143213842419134,"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."}}