{"id":"W4409963411","doi":"10.1063/5.0249419","title":"Energy management in alternating current microgrids with renewable energy sources integration using giant trevally optimizer-self-adaptive physics-informed neural networks","year":2025,"lang":"en","type":"article","venue":"Journal of Renewable and Sustainable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Renewable energy; Artificial neural network; Energy management; Alternating current; Energy (signal processing); Computer science; Physics; Engineering; Control engineering; Electrical engineering; Artificial intelligence; Voltage","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":[0.0002798091,0.0003641119,0.0005309844,0.0005837627,0.000186486,0.0002471767,0.0002334127,0.000110331,0.000005005686],"category_scores_gemma":[0.000007793734,0.0003067919,0.000117082,0.0007556795,0.00003885547,0.0007012257,0.00009871396,0.0001828563,2.191333e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005318026,"about_ca_system_score_gemma":0.0001483215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004499403,"about_ca_topic_score_gemma":0.001221435,"domain_scores_codex":[0.9980273,0.00007526742,0.000736684,0.0002450006,0.0002469439,0.0006687837],"domain_scores_gemma":[0.9989968,0.00006772401,0.0003214741,0.0001752558,0.0003202051,0.0001185191],"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":[0.0002516135,0.00006751104,0.00005209164,0.0001125384,0.0002331753,0.0001020312,0.0001049053,0.8666004,0.0001622184,0.001405865,0.0003020101,0.1306057],"study_design_scores_gemma":[0.002067941,0.0001817479,0.00001274661,0.0003610476,0.0001841305,0.00003896462,0.001320972,0.9818839,0.00287084,0.0007455192,0.01002412,0.0003080656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009041796,0.02242136,0.9662321,0.00003325275,0.0003528586,0.000112747,0.000001148789,0.00006560616,0.001739168],"genre_scores_gemma":[0.9377916,0.0355763,0.02370814,0.0001731019,0.0005702246,0.00004759207,0.00002638604,0.00008698093,0.002019684],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.942524,"threshold_uncertainty_score":0.9999384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004575542424410849,"score_gpt":0.2020167679307636,"score_spread":0.1974412255063527,"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."}}