{"id":"W4410521164","doi":"10.71070/es.v5i1.88","title":"Energy Consumption Prediction using Support Vector Regression","year":2025,"lang":"en","type":"article","venue":"Energy & System","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Cape Breton University; Thompson Rivers University","funders":"","keywords":"Regression analysis; Regression; Statistics; Support vector machine; Energy consumption; Econometrics; Computer science; Mathematics; Machine learning; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001197009,0.0002093864,0.0002296657,0.0001990627,0.0001428606,0.00004254352,0.0001130312,0.0001723091,0.00004668785],"category_scores_gemma":[0.000005460049,0.0001976746,0.00008119974,0.0002355655,0.00002028998,0.000145331,0.00003443678,0.00008822476,0.000007765919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729678,"about_ca_system_score_gemma":0.00003485165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001526387,"about_ca_topic_score_gemma":0.00003939797,"domain_scores_codex":[0.998906,0.0000553668,0.0003662334,0.0002282101,0.0001652129,0.0002789808],"domain_scores_gemma":[0.9995366,0.00003829037,0.00005830365,0.0002549062,0.00003918826,0.00007273687],"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":[0.0001014407,0.00008470678,0.01080668,0.002255641,0.000692191,0.0001619995,0.0005074311,0.4143078,0.2399655,0.2297228,0.0235664,0.07782741],"study_design_scores_gemma":[0.0007364062,0.00004520483,0.000726651,0.002570512,0.0001065205,0.0001119611,0.0001450942,0.7342128,0.1317438,0.00004967749,0.1290632,0.000488128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4552945,0.004477803,0.3823784,0.00003109641,0.01762338,0.0001313192,0.00006682987,0.004186773,0.13581],"genre_scores_gemma":[0.9974133,0.00007243059,0.000270364,0.0000268159,0.0003483475,0.00002225887,0.00006431801,0.00003773632,0.001744434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5421188,"threshold_uncertainty_score":0.8060936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326803775320304,"score_gpt":0.21996425181686,"score_spread":0.206696214063657,"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."}}