{"id":"W4388669186","doi":"10.1049/itr2.12439","title":"Optimal dispatch of a mobile storage unit to support electric vehicles charging stations","year":2023,"lang":"en","type":"article","venue":"IET Intelligent Transport Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Electrification; Electricity; Energy storage; Peaking power plant; Grid; Renewable energy; Capital cost; Engineering; Computer science; Operations research; Reliability engineering; Automotive engineering; Power (physics); Distributed generation; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003975341,0.0007717767,0.0007418466,0.0004306893,0.0004960676,0.001174196,0.000630132,0.0007454331,0.004141891],"category_scores_gemma":[0.0005268935,0.0003226517,0.0004034012,0.0003961493,0.0003368001,0.0004041462,0.0004806121,0.0005494582,0.0003031974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103787,"about_ca_system_score_gemma":0.001028026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006938428,"about_ca_topic_score_gemma":0.005530033,"domain_scores_codex":[0.9997843,0.00007308733,0.000009621585,0.00003400089,0.00003670687,0.00006225985],"domain_scores_gemma":[0.9998044,0.00006246456,0.00003013643,0.000009738475,0.00004863817,0.00004465299],"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":[0.0002345154,0.00004296212,0.0004248527,0.00005511413,0.00002354188,0.0001849517,0.0000233595,0.9838594,0.00285463,0.00296685,0.001029096,0.008300696],"study_design_scores_gemma":[0.00001402383,0.00005770365,0.0001125422,0.000002729735,0.000006033543,0.000007994693,0.00001623577,0.9985704,0.0004346484,0.0004563792,0.0003179093,0.00000329605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4664895,0.0007738231,0.4976838,0.0007569294,0.0003945798,0.0003469736,0.0004312942,0.0004915059,0.03263161],"genre_scores_gemma":[0.9900436,0.00004908376,0.007917866,0.00001413267,0.00001069612,0.00003712408,0.00003783312,0.000008530057,0.00188119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006938428,"threshold_uncertainty_score":0.01385605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497378777891847,"score_gpt":0.2403757712933957,"score_spread":0.2254019835144772,"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."}}