{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003357133,0.00005734081,0.00009974162,0.00009580992,0.00002209576,0.00001319334,0.00001948078,0.00002753619,0.0000322234],"category_scores_gemma":[0.00003547542,0.00005744216,0.00002121287,0.0004916246,0.000008745708,0.00005080151,0.00000434759,0.00003629901,7.337683e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007872188,"about_ca_system_score_gemma":0.00001423209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003167898,"about_ca_topic_score_gemma":0.00001223085,"domain_scores_codex":[0.9996712,0.000006246523,0.00009742624,0.00008470973,0.00007350772,0.00006692098],"domain_scores_gemma":[0.9997943,0.000048153,0.00001840874,0.00005910114,0.00005670219,0.00002332203],"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":[0.00001733265,0.0000735461,0.02910111,0.002449983,0.0003012839,0.00001125231,0.0004245645,0.9439917,0.018355,0.00003199842,0.00005285402,0.005189327],"study_design_scores_gemma":[0.0002706746,0.0000529733,0.01616568,0.0001809117,0.0002722794,0.000004660683,0.00004375932,0.7019089,0.2806017,0.00007458984,0.0003096557,0.0001142332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878766,0.0006091465,0.008225082,0.00002590461,0.00008890257,0.00002287995,0.00002393651,0.00008125728,0.003046317],"genre_scores_gemma":[0.9991018,0.00008237539,0.0006729083,0.00001530935,0.00003290318,5.032452e-7,0.00006394572,0.000007385327,0.00002292867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2622466,"threshold_uncertainty_score":0.2342423,"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."}}