{"id":"W4221045414","doi":"10.31763/ijrcs.v2i1.599","title":"Performance Enhancement of a Hybrid Renewable Energy System Accompanied with Energy Storage Unit Using Effective Control System","year":2022,"lang":"en","type":"article","venue":"International Journal of Robotics and Control Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Model predictive control; Photovoltaic system; Computer science; Wind power; Renewable energy; Control theory (sociology); Energy storage; Permanent magnet synchronous generator; Maximum power point tracking; Energy management system; Energy management; Hybrid system; Control engineering; Automotive engineering; Engineering; Power (physics); Energy (signal processing); Control (management); Voltage; 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":[0.0002027626,0.0003883235,0.0004224569,0.0002106439,0.000294685,0.0005695967,0.0003036292,0.0002398535,0.001712489],"category_scores_gemma":[0.000207312,0.00009084683,0.0002083429,0.000178702,0.0001457077,0.0003418718,0.0002683984,0.0001742297,0.0002241204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473408,"about_ca_system_score_gemma":0.000152034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465787,"about_ca_topic_score_gemma":0.00131098,"domain_scores_codex":[0.9998854,0.00002802856,0.000008834341,0.00002301959,0.0000386152,0.00001601288],"domain_scores_gemma":[0.9998829,0.0000339999,0.00001695205,0.00001657649,0.0000406259,0.000008943402],"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":[0.001604749,0.0003330135,0.004118904,0.0006540478,0.0002398373,0.0007087655,0.0003017532,0.6217154,0.2116134,0.005439346,0.0018562,0.1514146],"study_design_scores_gemma":[0.00005459777,0.0009858779,0.002385876,0.0000127443,0.00006192092,0.0001000491,0.0000420816,0.973776,0.02082059,0.0004654225,0.001279114,0.00001565481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7844101,0.0007987955,0.1976716,0.0001393277,0.0001114497,0.00007837063,0.00008609982,0.001458234,0.01524594],"genre_scores_gemma":[0.9970079,0.00004525028,0.002260667,0.000006731095,0.000005106955,0.0000125922,0.00001656267,0.000006736085,0.0006384419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001712489,"threshold_uncertainty_score":0.0057289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004227976290198872,"score_gpt":0.1732230023799754,"score_spread":0.1689950260897765,"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."}}