{"id":"W4403052777","doi":"10.2139/ssrn.4974855","title":"Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Term (time); Computer science; Economics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001066931,0.0005434722,0.0008320545,0.0005097815,0.0003513227,0.0006646205,0.0009773066,0.001164796,0.001665569],"category_scores_gemma":[0.004425807,0.0004930407,0.0006029952,0.000634536,0.0003749688,0.001209315,0.000636912,0.001258123,0.0005779468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005894871,"about_ca_system_score_gemma":0.000530484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100006,"about_ca_topic_score_gemma":0.01136647,"domain_scores_codex":[0.9997221,0.00009291687,0.00002214451,0.00007787913,0.00005114472,0.00003380014],"domain_scores_gemma":[0.9984876,0.001045428,0.00009278124,0.0001084069,0.0002210564,0.00004478297],"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":[0.0002078382,0.00005223269,0.002485512,0.00005352809,0.00008273515,0.0001068093,0.00006431014,0.932069,0.001487636,0.01154782,0.001762475,0.05008008],"study_design_scores_gemma":[0.00000111155,0.000002336078,0.0001041327,6.665572e-7,0.000002054633,0.000002458572,0.00000160139,0.9989173,0.00004807207,0.0008933296,0.00002567306,0.00000126387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1747244,0.0009271344,0.8190151,0.0005880285,0.0001963349,0.0000455644,0.0005711871,0.0008070508,0.003125207],"genre_scores_gemma":[0.959436,0.0003380143,0.03428466,0.00006556926,0.00007780929,0.00006387692,0.0007443335,0.00006294108,0.00492682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01100006,"threshold_uncertainty_score":0.0218721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398838820127136,"score_gpt":0.2650017553918405,"score_spread":0.2410133671905691,"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."}}