{"id":"W4387489102","doi":"10.1109/sege59172.2023.10274585","title":"Optimization of Fuel Cell Electric Vehicle-to-Grid in Alberta by Mixed Integer Linear Programming","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Electricity; Grid; Integer programming; Automotive engineering; Profit (economics); Vehicle-to-grid; Linear programming; Computer science; Electric vehicle; Smart grid; Greenhouse gas; Environmental science; Electrical engineering; Engineering; Power (physics); Economics; Microeconomics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004841651,0.001002989,0.0006007897,0.0005376721,0.0007602022,0.001340307,0.0009434606,0.0008906396,0.003585426],"category_scores_gemma":[0.0007809868,0.0005988951,0.0004883501,0.0007127899,0.0006737345,0.0005208227,0.0006202254,0.0007088177,0.0002028347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005939239,"about_ca_system_score_gemma":0.005644887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4777997,"about_ca_topic_score_gemma":0.5061908,"domain_scores_codex":[0.9997758,0.00006390057,0.000004388562,0.00002505078,0.0000465228,0.00008432566],"domain_scores_gemma":[0.999713,0.0001504516,0.00002665508,0.000006509813,0.00007042113,0.00003283929],"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":[0.00002690228,0.00001484321,0.0003988544,0.000006454423,0.000004178974,0.00002678434,0.000004096875,0.9977632,0.0001143262,0.0004932565,0.0001296276,0.001017555],"study_design_scores_gemma":[0.00001601378,0.00002655516,0.0002421418,0.000002207823,0.000004591556,0.000003038083,0.00002999026,0.9989733,0.0001299428,0.0003114234,0.0002578092,0.000002990833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8550037,0.0004835511,0.07996285,0.0009498291,0.00007779033,0.0002696266,0.001307805,0.0003925802,0.06155235],"genre_scores_gemma":[0.9730426,0.0001559375,0.01590761,0.00006634687,0.000005534833,0.00006263577,0.0004044561,0.00002947968,0.01032548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5222003,"threshold_uncertainty_score":0.9500371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003784225547318363,"score_gpt":0.1900266443048826,"score_spread":0.1862424187575643,"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."}}