{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000106609,0.000244768,0.0003319054,0.0002631772,0.0004591651,0.0001522256,0.0002729341,0.0001659167,0.00002002698],"category_scores_gemma":[0.000006073648,0.0002639266,0.0001392393,0.0001026536,0.00005397013,0.000315053,0.000002392727,0.0001116294,9.576974e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381467,"about_ca_system_score_gemma":0.00005133804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004411589,"about_ca_topic_score_gemma":0.000009310325,"domain_scores_codex":[0.9988083,0.00002046277,0.000335969,0.0002362115,0.0001231066,0.0004759567],"domain_scores_gemma":[0.9990531,0.00008074546,0.0001192995,0.0004532247,0.0002028189,0.00009084905],"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":[0.0001435545,0.00005145348,4.682809e-7,0.0001455512,0.0001514458,0.0000141364,0.0000876495,0.9925273,0.002208966,0.0003503686,0.0004433472,0.003875773],"study_design_scores_gemma":[0.001026229,0.0001699825,0.000003401674,0.00007217374,0.00008212582,0.000009869046,0.0004066697,0.9832228,0.007258793,0.00002555784,0.007436867,0.0002855135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002907647,0.001435153,0.9940724,0.00002178887,0.0009086899,0.000160414,0.00004859536,0.0001843748,0.0002609144],"genre_scores_gemma":[0.9964295,0.0001562631,0.0003469825,0.00001797237,0.0001196298,0.0002096298,0.00001562834,0.00007342703,0.002630979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9937254,"threshold_uncertainty_score":0.9999813,"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."}}