{"id":"W3125401970","doi":"10.1049/rpg2.12064","title":"Decentralized stochastic programming for optimal vehicle‐to‐grid operation in smart grid with renewable generation","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Smart grid; Grid; Computer science; Renewable energy; Stochastic programming; Vehicle-to-grid; Mathematical optimization; Distributed computing; Electric vehicle; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002215653,0.0002976439,0.0002945247,0.0001570826,0.0001924062,0.0003266151,0.0001100014,0.0001780126,0.00007487211],"category_scores_gemma":[0.00004771808,0.0002956974,0.00006107782,0.0005891676,0.00001369465,0.0004358675,0.00002074863,0.0001386052,0.000006427299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297719,"about_ca_system_score_gemma":0.0001808547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002248562,"about_ca_topic_score_gemma":0.003765846,"domain_scores_codex":[0.998175,0.00005175011,0.0004480477,0.000485865,0.0002751146,0.0005641773],"domain_scores_gemma":[0.9992422,0.00002144773,0.00005492024,0.0002945085,0.000239485,0.0001474609],"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":[0.00003302603,0.00002742445,0.000123319,0.0000166214,0.00002435436,0.000004257912,0.0002039107,0.6831419,0.3080208,0.00004093633,0.006664465,0.001698992],"study_design_scores_gemma":[0.001245001,0.0002411564,0.0001612092,0.00003497492,0.00002963926,0.00002148888,0.00005272981,0.6607961,0.3233937,0.00001623967,0.01363316,0.0003746029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5454226,0.000488021,0.4517371,0.0002651487,0.0009566155,0.0008420695,0.00002768705,0.0001580175,0.0001026557],"genre_scores_gemma":[0.9202198,0.00007280249,0.07596112,0.0002588457,0.001114018,0.0004839579,0.001421535,0.000101207,0.000366726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.375776,"threshold_uncertainty_score":0.9999495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126030069449662,"score_gpt":0.2205725254139999,"score_spread":0.2093122247195033,"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."}}