{"id":"W3205604801","doi":"10.3390/pr9101793","title":"Chaotic Analysis and Prediction of Wind Speed Based on Wavelet Decomposition","year":2021,"lang":"en","type":"article","venue":"Processes","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Wind speed; Chaotic; Kalman filter; Wavelet; Control theory (sociology); Fractal dimension; Lyapunov exponent; Computer science; Fractal; Algorithm; Mathematics; Meteorology; Artificial intelligence; Mathematical analysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003064849,0.0002683874,0.0002783737,0.0005093548,0.0001590368,0.0003107435,0.0001612781,0.0001981846,0.0002789499],"category_scores_gemma":[0.001070577,0.0001605893,0.0003534172,0.0005146553,0.0002025981,0.0006027676,0.0002052408,0.0003209019,0.0000617385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001620171,"about_ca_system_score_gemma":0.0002435485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445561,"about_ca_topic_score_gemma":0.0012667,"domain_scores_codex":[0.9999001,0.00001730453,0.000008389194,0.0000224874,0.0000392552,0.00001250856],"domain_scores_gemma":[0.9997885,0.0001005327,0.00003040337,0.00002027352,0.00005156442,0.000008786552],"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":[0.000156506,0.00004826029,0.01173681,0.0001290677,0.00007711589,0.0003120757,0.0001858568,0.7639912,0.04582899,0.01584642,0.0007382204,0.1609494],"study_design_scores_gemma":[0.000001862216,0.000008525389,0.001457121,0.000002232613,0.000004269027,0.000015121,0.000005018844,0.9965856,0.001140026,0.0006738136,0.0001021391,0.000004201394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2525596,0.0003189362,0.7454405,0.00008095337,0.00003896302,0.00002300353,0.00009518518,0.0001471037,0.001295841],"genre_scores_gemma":[0.9605662,0.0002884375,0.03853014,0.000005264027,0.00001580022,0.00001836172,0.00009183914,0.00001335474,0.0004705946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002445561,"threshold_uncertainty_score":0.004862666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009431963862088838,"score_gpt":0.212000170742542,"score_spread":0.2025682068804531,"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."}}