{"id":"W4224868011","doi":"10.1049/rpg2.12479","title":"Applications of artificial intelligence in renewable energy systems","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Computer science; Artificial intelligence; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002829422,0.0001396158,0.0001878223,0.0002448482,0.0001353179,0.00003757573,0.0001839575,0.00005962003,0.0001734505],"category_scores_gemma":[0.000008181321,0.0001675579,0.00004564211,0.0006945527,0.00001970972,0.0001182901,0.00005219003,0.00009935639,0.000002998581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116477,"about_ca_system_score_gemma":0.00004730476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004161243,"about_ca_topic_score_gemma":0.002603201,"domain_scores_codex":[0.9987358,0.00006305593,0.0005005564,0.0002174343,0.0002416579,0.0002414723],"domain_scores_gemma":[0.999522,0.00003175887,0.0000781477,0.0002769915,0.00004366443,0.00004744074],"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":[0.000004667529,0.00003943196,0.00005304576,0.00001565535,0.00001051636,0.000001632905,0.0001997712,0.9538676,0.03769007,0.0037423,0.001461193,0.002914113],"study_design_scores_gemma":[0.00006010069,0.00005678848,0.000003990557,0.00001400445,0.000007126943,0.000009042476,0.0003586355,0.8597482,0.06975586,0.0008952377,0.068872,0.0002190299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02014202,0.003418364,0.9506845,0.0000294038,0.001976466,0.0002944929,0.0000630424,0.0002375094,0.02315419],"genre_scores_gemma":[0.9973696,0.00007304824,0.0009300313,0.00001916138,0.0001930429,0.0004156156,0.0001475641,0.00003290538,0.0008189753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9772276,"threshold_uncertainty_score":0.6832814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687398250159058,"score_gpt":0.220806287036394,"score_spread":0.2039323045348035,"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."}}