{"id":"W4409501920","doi":"10.1049/icp.2025.1140","title":"Optimizing renewable energy integration: a hybrid energy system approach for residential applications","year":2025,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Renewable energy; Energy (signal processing); Energy system; Computer science; Environmental science; Environmental economics; Engineering; Electrical engineering; Economics; Physics","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":[0.0004044019,0.00072767,0.0007799608,0.0005184996,0.0002811334,0.0009998026,0.000732621,0.0006302554,0.00372344],"category_scores_gemma":[0.000486222,0.0003809752,0.0006573056,0.0007653109,0.0001872239,0.0005936018,0.0006054187,0.0004019178,0.0003784719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426048,"about_ca_system_score_gemma":0.0005018681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00298192,"about_ca_topic_score_gemma":0.005792739,"domain_scores_codex":[0.9997543,0.00009477341,0.00001015439,0.00003506596,0.00007809563,0.00002771722],"domain_scores_gemma":[0.9998848,0.00004950997,0.00001555464,0.00001110374,0.0000324715,0.000006619995],"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":[0.00003399998,0.00005757023,0.0005140764,0.00008269913,0.0001021172,0.00005989857,0.0000232514,0.9563482,0.001608846,0.003079218,0.0006335175,0.0374566],"study_design_scores_gemma":[0.000007904387,0.00005561083,0.0003133291,0.000009742248,0.00002453793,0.00002054321,0.00002160683,0.9953921,0.0003945265,0.002439529,0.001315021,0.000005615992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0598611,0.001059427,0.9045221,0.0003224694,0.0000625788,0.0001632604,0.000193358,0.0008117026,0.03300393],"genre_scores_gemma":[0.8882775,0.0005601911,0.1036725,0.0000957606,0.00004144143,0.0002013241,0.0001854959,0.0001085716,0.006857258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00372344,"threshold_uncertainty_score":0.01245618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009691599488242114,"score_gpt":0.2070341615443547,"score_spread":0.1973425620561126,"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."}}