{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008567448,0.0004696419,0.0006202349,0.0006143262,0.0001364318,0.0005631571,0.0005737077,0.0004928203,0.0009249229],"category_scores_gemma":[0.003546845,0.0002237075,0.0004571298,0.001030169,0.0001303847,0.0008379759,0.0003294013,0.000906124,0.0004087702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288348,"about_ca_system_score_gemma":0.0003576262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005678164,"about_ca_topic_score_gemma":0.003850819,"domain_scores_codex":[0.9994848,0.0001815522,0.00003129412,0.0000945043,0.0001606031,0.0000471343],"domain_scores_gemma":[0.9989317,0.0006172904,0.0001254817,0.00008767682,0.0002168423,0.00002099509],"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":[0.0001178835,0.000103519,0.007041045,0.00005564759,0.00007723648,0.00009221878,0.00002715121,0.8814362,0.002299747,0.00206094,0.001496425,0.1051919],"study_design_scores_gemma":[9.446661e-7,0.000008722759,0.0002666616,0.000001306874,0.000001476765,0.00000334363,0.00000224979,0.9991177,0.0002422308,0.000270712,0.00008297625,0.000001674329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2180894,0.0004410701,0.7764909,0.0004107702,0.00007363932,0.00003770434,0.0003961838,0.001579176,0.002481196],"genre_scores_gemma":[0.9562114,0.0002387076,0.04154042,0.00002760457,0.00003116222,0.00002683489,0.0004723154,0.00003526767,0.001416272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005678164,"threshold_uncertainty_score":0.01129025,"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."}}