{"id":"W4387951140","doi":"10.1109/ccece58730.2023.10288848","title":"A Hour-Ahead Wind Speed Forecasting Using One-Dimensional Convolutional Neural Network","year":2023,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind speed; Convolutional neural network; Data pre-processing; Computer science; Wind power; Artificial neural network; Meteorology; Preprocessor; Wind direction; Deep learning; Speedup; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001503068,0.0004789987,0.0002691397,0.0003502824,0.0002106423,0.0003077437,0.0004281383,0.0003142294,0.0006924816],"category_scores_gemma":[0.000399342,0.0002248829,0.0002690556,0.0004152704,0.00009134196,0.0004676052,0.00024546,0.0004641126,0.0002125519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004545921,"about_ca_system_score_gemma":0.0006543432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03439659,"about_ca_topic_score_gemma":0.04996921,"domain_scores_codex":[0.9999275,0.000004775471,0.000004885143,0.00002492289,0.00002240429,0.00001545739],"domain_scores_gemma":[0.9999046,0.00001668766,0.00001239443,0.00001389306,0.00004444028,0.000007885624],"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":[0.0001871885,0.0001420199,0.01616822,0.00006270208,0.00009921322,0.0002038147,0.00003639551,0.6689597,0.01878875,0.001230691,0.004122771,0.2899985],"study_design_scores_gemma":[0.000001542823,0.000008752873,0.001561888,0.000002026521,0.000004426836,0.000007963314,0.000002467058,0.99705,0.001077985,0.000103287,0.000176129,0.000003405592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5902839,0.00102321,0.3957132,0.0005534098,0.0003568315,0.00005511467,0.001623411,0.002261658,0.008129224],"genre_scores_gemma":[0.9708186,0.0003080638,0.02560309,0.00004522689,0.00002100936,0.00001694062,0.0009959276,0.00001473838,0.002176302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03439659,"threshold_uncertainty_score":0.06839275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06469325440995186,"score_gpt":0.2401452806069523,"score_spread":0.1754520261970004,"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."}}