{"id":"W4409902815","doi":"10.18280/jesa.580315","title":"Advanced Deep Learning Models for Accurate Solar Energy Output Prediction","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Solar energy; Energy (signal processing); Artificial intelligence; Computer science; Environmental science; Engineering; Mathematics; Statistics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003254463,0.000266162,0.0003238523,0.0002769578,0.0004828212,0.0002385398,0.0002283259,0.0001172235,0.00001483881],"category_scores_gemma":[0.0001339249,0.0002544707,0.0001755232,0.0002938809,0.00003174126,0.0006975123,0.00004319761,0.0003546604,0.000005263067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002046376,"about_ca_system_score_gemma":0.00004307467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000552442,"about_ca_topic_score_gemma":0.00001185705,"domain_scores_codex":[0.9984359,0.00009294012,0.000608852,0.0001944358,0.0001972381,0.0004706216],"domain_scores_gemma":[0.9992515,0.0001582435,0.0001524628,0.0001528571,0.0001593034,0.0001255611],"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":[0.00001157494,0.000007361564,0.00006353551,0.000126886,0.00009713195,0.00000861284,0.0002016903,0.6100838,0.0007401005,0.001562469,0.0004763402,0.3866205],"study_design_scores_gemma":[0.0005908833,0.00008934224,0.001870939,0.0005732024,0.00005655843,0.00012452,0.00009626687,0.9703482,0.0009563037,0.006913765,0.01816355,0.000216466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03311384,0.00427285,0.9453121,0.00002775607,0.001788766,0.0001152772,0.0000118987,0.0009350213,0.01442244],"genre_scores_gemma":[0.9843289,0.0009987929,0.01122269,0.000048348,0.0003056847,0.00003539824,0.00001620127,0.00008525865,0.00295871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9512151,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710879061353105,"score_gpt":0.2307380979085647,"score_spread":0.2136293072950337,"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."}}