{"id":"W1908791208","doi":"10.1109/ccece.1996.548207","title":"Application of least absolute value parameter estimation technique based on linear programming to short-term load forecasting","year":2002,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Technical University of Nova Scotia","funders":"","keywords":"Overdetermined system; Linear regression; Term (time); Linear programming; Least-squares function approximation; Estimation theory; Computer science; Linear model; Linear least squares; Mathematical optimization; Mathematics; Applied mathematics; Algorithm; Statistics","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":[0.001243031,0.0005090737,0.0008237534,0.0005284973,0.0002874854,0.0005816735,0.0006063036,0.0005602252,0.001179603],"category_scores_gemma":[0.004860014,0.000414306,0.0003846154,0.0006783201,0.0003307267,0.0009218617,0.0004211196,0.001030244,0.0003107059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578147,"about_ca_system_score_gemma":0.0006362085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006254766,"about_ca_topic_score_gemma":0.002799197,"domain_scores_codex":[0.9992667,0.0004312533,0.0000244765,0.0000744265,0.0001638216,0.00003946855],"domain_scores_gemma":[0.9979189,0.001647837,0.000106153,0.0001139972,0.0001903208,0.00002276984],"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":[0.0001531382,0.0001258654,0.001418669,0.00005210895,0.00008219887,0.00004641416,0.00007549159,0.8094025,0.005044806,0.002627973,0.0004930319,0.1804778],"study_design_scores_gemma":[0.000005556476,0.00004733691,0.0002131189,0.000001619669,0.000005944572,0.000009768301,0.000007912694,0.9972548,0.001632024,0.0006373309,0.0001786817,0.000006015252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06276049,0.0001100916,0.9350851,0.00009321022,0.00001700427,0.00002842559,0.00002181489,0.0008770761,0.001006829],"genre_scores_gemma":[0.7025046,0.0002036571,0.294967,0.00003840826,0.00002424001,0.00009970814,0.0001217816,0.0001525759,0.001888026],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006254766,"threshold_uncertainty_score":0.01243669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516263296769045,"score_gpt":0.2390105436544187,"score_spread":0.2138479106867282,"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."}}