{"id":"W2802936955","doi":"10.1109/jsyst.2018.2828838","title":"Robust Energy Management of Isolated Microgrids","year":2018,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Resources Canada","keywords":"Probabilistic logic; Renewable energy; Electric power system; Economic dispatch; Computer science; Mathematical optimization; Power system simulation; Energy management; Time horizon; Energy storage; Engineering; Energy (signal processing); Reliability engineering; Power (physics); Mathematics","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":[0.0004372604,0.0008758674,0.0006863984,0.0002686034,0.0003280052,0.0009410451,0.001044809,0.0004054649,0.001601358],"category_scores_gemma":[0.0007801772,0.0002767763,0.0004402471,0.0002351074,0.0004812305,0.0007064675,0.0008906454,0.0007117029,0.0002411769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908733,"about_ca_system_score_gemma":0.00062429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526303,"about_ca_topic_score_gemma":0.001316775,"domain_scores_codex":[0.9996957,0.00006997613,0.00001568188,0.00008744948,0.00008563816,0.00004554932],"domain_scores_gemma":[0.9997383,0.00008881362,0.00008567865,0.00002600398,0.00004551245,0.00001572965],"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":[0.0000498223,0.00002216921,0.0001093417,0.00005526197,0.00002594057,0.0000938193,0.00002990845,0.9673997,0.003685915,0.008369454,0.0003089594,0.0198497],"study_design_scores_gemma":[0.000006607338,0.00003424821,0.00004322531,0.00000294203,0.000005940961,0.00001055547,0.00000617969,0.9964561,0.0007405289,0.002400992,0.0002895849,0.000003043582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03190421,0.0002328655,0.9625126,0.0001143907,0.00003090336,0.00004419067,0.00005094504,0.0004573328,0.004652638],"genre_scores_gemma":[0.9690167,0.0001482066,0.02914842,0.00002667646,0.00002693789,0.00005995104,0.00004497913,0.00004063002,0.001487478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001601358,"threshold_uncertainty_score":0.005357087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009080111549755163,"score_gpt":0.177102436928881,"score_spread":0.1680223253791258,"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."}}