{"id":"W3190883871","doi":"10.1109/iwcmc51323.2021.9498933","title":"Profit Maximization for EVSEs-based Solar Energy in Smart Cities","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Profit maximization; Profit (economics); MATLAB; Maximization; Photovoltaic system; Electricity; Grid; Smart grid; Computer science; Grid connection; Environmental economics; Mathematical optimization; Distributed generation; Operations research; Renewable energy; Microeconomics; Electrical engineering; Engineering; Economics; Mathematics","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":[0.0006367906,0.0006690029,0.0009682568,0.0002699902,0.0004424189,0.001251313,0.0008512974,0.0008617673,0.002604032],"category_scores_gemma":[0.00118557,0.0004933564,0.0005850254,0.000500541,0.0007415861,0.001301049,0.0008105855,0.0008204159,0.0002630835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859735,"about_ca_system_score_gemma":0.001097991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005379787,"about_ca_topic_score_gemma":0.005041741,"domain_scores_codex":[0.9994848,0.0001856535,0.00001136862,0.0001197507,0.00008424695,0.0001141759],"domain_scores_gemma":[0.9996508,0.0001939208,0.00005690886,0.00001521745,0.00005195376,0.00003115257],"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":[0.00002950416,0.00001992458,0.0002294479,0.00002768508,0.00001124703,0.00006946567,0.0000236247,0.9815422,0.0007232455,0.01276566,0.0004774581,0.004080452],"study_design_scores_gemma":[0.00000462122,0.00001062764,0.00009205284,0.000003205535,0.000003455685,0.00001081524,0.00001587128,0.9947451,0.000153799,0.004649014,0.000307714,0.00000369619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09644378,0.0008835265,0.8807953,0.0009225598,0.00007377701,0.00008780451,0.0002015539,0.0002022729,0.02038933],"genre_scores_gemma":[0.982747,0.0002921306,0.01173489,0.00004938198,0.00002035746,0.0000471384,0.00003960392,0.00002831193,0.005041156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005379787,"threshold_uncertainty_score":0.01349342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006080663394123246,"score_gpt":0.1850275944137278,"score_spread":0.1789469310196046,"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."}}