{"id":"W2735549622","doi":"10.1109/tste.2017.2724514","title":"Stochastic Optimal Planning of Battery Energy Storage Systems for Isolated Microgrids","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Taif University","keywords":"Dispatchable generation; Microgrid; Stochastic programming; Mathematical optimization; Time horizon; Energy storage; Computer science; Monte Carlo method; Reliability engineering; Distributed generation; Engineering; Renewable energy; 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":[0.0009336504,0.001142813,0.001169608,0.0005409053,0.0004012291,0.001044213,0.0008987478,0.0005512063,0.001820278],"category_scores_gemma":[0.001720147,0.0009248864,0.0007350032,0.0007482722,0.0006240672,0.000761394,0.0006891526,0.0009503111,0.0001726608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342414,"about_ca_system_score_gemma":0.002378523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242085,"about_ca_topic_score_gemma":0.01578599,"domain_scores_codex":[0.9995064,0.0002099522,0.00001798014,0.00007051584,0.0001115943,0.00008348606],"domain_scores_gemma":[0.9992523,0.0004310214,0.0001225737,0.00002763467,0.0001081432,0.00005833874],"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":[0.0000102674,0.000004892465,0.00005769586,0.00001036379,0.000006278599,0.00001419682,0.000006388674,0.9962738,0.0001225488,0.001826097,0.0001020561,0.001565535],"study_design_scores_gemma":[0.000002666302,0.000007122247,0.00003449226,0.000001889963,0.000002402547,0.000002881157,0.000004039099,0.9984372,0.00006366803,0.001342876,0.00009879132,0.000001874998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03571239,0.000524487,0.9582495,0.0002585046,0.00003887539,0.00008695868,0.0002338026,0.0002023409,0.004693065],"genre_scores_gemma":[0.9088025,0.0005161656,0.08794288,0.00005769927,0.00003307133,0.0002001974,0.000297732,0.00007008015,0.0020797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242085,"threshold_uncertainty_score":0.02469707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007226901608446616,"score_gpt":0.20727176669935,"score_spread":0.2000448650909034,"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."}}