{"id":"W4381335354","doi":"10.24084/repqj21.263","title":"Energy Flows Optimization in a Renewable Energy Community with Storage Systems Integration","year":2023,"lang":"en","type":"article","venue":"Renewable Energy and Power Quality Journal","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Renewable energy; Environmental economics; Tariff; Energy (signal processing); Energy storage; Business; Computer science; Economics; Engineering; International trade; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001566327,0.000364738,0.0004678268,0.0006348146,0.0004047715,0.0002929624,0.0002901447,0.0002089917,0.00006585053],"category_scores_gemma":[0.00003795909,0.0003320916,0.00007091927,0.001068987,0.00005002702,0.0005546137,0.00009749021,0.0003096953,0.00000140642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003020862,"about_ca_system_score_gemma":0.00006735863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04761419,"about_ca_topic_score_gemma":0.03995095,"domain_scores_codex":[0.9971684,0.0008496789,0.0007247599,0.0002541002,0.0004458378,0.0005572207],"domain_scores_gemma":[0.9988307,0.0001925614,0.0001686241,0.0004648326,0.0001165807,0.000226726],"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":[0.00006555275,0.00005345068,0.0001637182,0.00004389281,0.0001098251,0.00004618394,0.0003604647,0.9872568,0.0004122379,0.001971608,0.00890865,0.0006076635],"study_design_scores_gemma":[0.00105133,0.0001504037,0.000288094,0.0002738549,0.00002747116,0.00009099014,0.001591992,0.9348146,0.0009802026,0.000656909,0.05954148,0.0005326553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03158657,0.001350001,0.9497272,0.00009895821,0.001521152,0.00005610784,0.0000117917,0.0004606487,0.01518755],"genre_scores_gemma":[0.9912335,0.002956951,0.0008351977,0.0001252732,0.0002715207,0.00005543917,0.0001658097,0.00008687902,0.004269425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9596469,"threshold_uncertainty_score":0.9999131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925076194083117,"score_gpt":0.2295713890108704,"score_spread":0.2103206270700392,"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."}}