{"id":"W4224280741","doi":"10.3390/su14084826","title":"Design of Multi-Renewable Energy Storage and Management System Using RL-ICSO Based MPPT Scheme for Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Microgrid; Renewable energy; Maximum power point tracking; Photovoltaic system; Energy storage; Fault (geology); Controller (irrigation); Computer science; Engineering; Electric power system; Harmonics; Automotive engineering; Control theory (sociology); Electrical engineering; Power (physics); Voltage; Inverter","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":[0.0001750101,0.0004225737,0.0006100566,0.000237037,0.0004268794,0.000591354,0.0009518267,0.0004834422,0.002745658],"category_scores_gemma":[0.0001511327,0.0002439552,0.0003806162,0.000217693,0.0002076945,0.000395813,0.0003106416,0.0003273439,0.0005923496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000348578,"about_ca_system_score_gemma":0.0004201569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071998,"about_ca_topic_score_gemma":0.002209258,"domain_scores_codex":[0.9998388,0.00002607235,0.00001546919,0.00004613673,0.00005448672,0.00001902959],"domain_scores_gemma":[0.9999311,0.000009072989,0.00001617913,0.000006620138,0.00002999343,0.000007008148],"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":[0.0004260607,0.0002703966,0.001801804,0.0006619215,0.0001644836,0.0008758429,0.0002903875,0.6130646,0.1304896,0.01384929,0.005753159,0.2323525],"study_design_scores_gemma":[0.00004261124,0.0001739037,0.0003920935,0.0000163694,0.00002257999,0.0001202198,0.00001863872,0.9869342,0.007462533,0.0007801392,0.004021678,0.00001501677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06869204,0.001243416,0.9019433,0.0004116286,0.0002153272,0.0002965703,0.0001057327,0.00196995,0.02512206],"genre_scores_gemma":[0.9551716,0.0002352025,0.03921169,0.00007647298,0.00003232766,0.0001705057,0.00005794745,0.00002415517,0.005019994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002745658,"threshold_uncertainty_score":0.009185135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009546723322583708,"score_gpt":0.2142037933858005,"score_spread":0.2046570700632168,"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."}}