{"id":"W4402536521","doi":"10.1007/978-981-97-3851-9_26","title":"Optimal Planning of Photovoltaic Distributed Generation Considering Time-Varying Loads","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Photovoltaic system; Computer science; Distributed generation; Electrical engineering; Engineering; Renewable energy","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":[0.000151046,0.0007393296,0.0008279469,0.0006433291,0.00003434442,0.00007533794,0.0002163327,0.0008346994,0.0001013374],"category_scores_gemma":[0.0002067968,0.0008536803,0.0002351968,0.0004002278,0.00003622969,0.0001239527,0.00007367587,0.0017238,0.00005661318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007727248,"about_ca_system_score_gemma":0.00005666203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006604517,"about_ca_topic_score_gemma":0.000001767498,"domain_scores_codex":[0.9976034,0.000007649487,0.0008116291,0.000533706,0.0003771217,0.0006664476],"domain_scores_gemma":[0.9991075,0.0002869522,0.00008616402,0.0003240411,0.00006893516,0.0001263693],"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":[0.00001160018,0.000007138372,0.000005065962,0.0002860575,0.0001373233,0.0001070841,0.00004469444,0.874113,0.1233825,0.0006208762,0.0001046284,0.001180032],"study_design_scores_gemma":[0.0002347659,0.00008085041,0.000005301353,0.0006715747,0.000101841,0.00005129943,1.822039e-7,0.938632,0.05651965,0.0004136671,0.002567707,0.0007211994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007843891,0.01704676,0.9639248,0.00002397254,0.001086339,0.0007173345,0.0002918829,0.001548957,0.007516089],"genre_scores_gemma":[0.9883566,0.0001578124,0.008611703,0.00001682269,0.000668964,0.00004229881,0.001283063,0.0004253194,0.0004374077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805127,"threshold_uncertainty_score":0.9993914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009294442233052857,"score_gpt":0.2091700122480317,"score_spread":0.1998755700149788,"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."}}