{"id":"W2087698011","doi":"10.1109/iecon.2013.6699455","title":"MILP-based rolling horizon control for microgrids with battery storage","year":2013,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Microgrid; Renewable energy; Computer science; Battery (electricity); Controller (irrigation); Grid; Energy storage; Flow battery; Time horizon; Energy management; Power (physics); Automotive engineering; Mathematical optimization; Engineering; Energy (signal processing); Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006128189,0.0001585817,0.0001772532,0.00006519928,0.00005036058,0.00008309418,0.00008348317,0.0000640857,0.000220782],"category_scores_gemma":[0.000004718669,0.000124257,0.00005807472,0.00007371131,0.00001381847,0.0001444892,0.000002924706,0.00006654713,0.00004806577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003158308,"about_ca_system_score_gemma":0.00001474666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002157866,"about_ca_topic_score_gemma":0.00001231486,"domain_scores_codex":[0.9993458,0.000008811166,0.0001592709,0.0001461699,0.00006990034,0.0002700686],"domain_scores_gemma":[0.9996122,0.0000679622,0.00002188032,0.0001474506,0.00008248387,0.00006807028],"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":[0.00004294,0.00002047629,0.0002850444,0.00005616225,0.0000649299,0.000001004942,0.00001728047,0.9584618,0.02452327,0.000018955,0.00448061,0.01202754],"study_design_scores_gemma":[0.002610253,0.0001545785,0.0002355225,0.00001649265,0.00003439779,0.000001346585,0.00001648264,0.9874552,0.005406061,0.0000132394,0.003841161,0.0002152838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04876706,0.0005568931,0.9486653,0.0002397402,0.0001620432,0.0007419893,0.00001498833,0.0003862616,0.0004657017],"genre_scores_gemma":[0.9715872,0.00001592802,0.02740064,0.0003377737,0.0001691824,0.0002751643,0.00003360248,0.00005144327,0.0001290837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9228202,"threshold_uncertainty_score":0.5067055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002855517366285643,"score_gpt":0.1514437067819852,"score_spread":0.1485881894156995,"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."}}