{"id":"W4398165923","doi":"10.1016/j.eneco.2024.107652","title":"How aggregate electricity demand responds to hourly wholesale price fluctuations","year":2024,"lang":"en","type":"article","venue":"Energy Economics","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Electricity; Electricity demand; Aggregate (composite); Aggregate demand; Econometrics; Microeconomics; Natural resource economics; Macroeconomics; Electricity generation; Engineering; Monetary policy; Power (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":[0.0003871306,0.000157068,0.0001887629,0.0002312935,0.0001023221,0.0009067174,0.0002018352,0.0004812172,0.002027424],"category_scores_gemma":[0.003095208,0.0001872794,0.0002699369,0.0004256561,0.0002423359,0.0007054459,0.0003099559,0.0004455543,0.0003914176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814326,"about_ca_system_score_gemma":0.0001255913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006727493,"about_ca_topic_score_gemma":0.003671499,"domain_scores_codex":[0.9997222,0.00007831911,0.00001479238,0.00007018283,0.00005229446,0.00006221645],"domain_scores_gemma":[0.99879,0.0007233361,0.0002217502,0.00009277341,0.0001224022,0.00004987169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006386985,0.0002680792,0.5813842,0.0001469977,0.0005314116,0.0007622872,0.0008614433,0.3303913,0.02384565,0.01566683,0.007562443,0.03794084],"study_design_scores_gemma":[0.00002016788,0.0001130059,0.6923121,0.0000148784,0.00006975463,0.0001790187,0.001074494,0.2911529,0.002473376,0.009432748,0.003100756,0.00005687053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99228,0.00009372407,0.002855486,0.0006676133,0.00002283108,0.000007444391,0.0005042986,0.00004931729,0.00351937],"genre_scores_gemma":[0.9993955,0.00003546346,0.0000739941,0.00002892529,0.000006513477,0.000001853521,0.0001353654,0.000006086115,0.0003162552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006727493,"threshold_uncertainty_score":0.01337665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008942394276166058,"score_gpt":0.2092871153361132,"score_spread":0.2003447210599472,"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."}}