{"id":"W2079991364","doi":"10.1109/smartgridcomm.2012.6485977","title":"On hourly home peak load prediction","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Peak load; Mean squared error; Occupancy; Peak demand; Electricity; Electrical load; Demand response; Work (physics); Load management; Computer science; Reduction (mathematics); Load balancing (electrical power); Root mean square; Environmental science; Statistics; Grid; Automotive engineering; Mathematics; Engineering; Voltage; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006212803,0.0003742331,0.0004702745,0.0005655015,0.0003206429,0.0006328615,0.0005737041,0.0004274097,0.001785399],"category_scores_gemma":[0.003664102,0.0002031362,0.0002153002,0.0007572063,0.0002086977,0.0006383716,0.0002992538,0.0005277595,0.0005408814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000840649,"about_ca_system_score_gemma":0.0007317519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1268777,"about_ca_topic_score_gemma":0.1470185,"domain_scores_codex":[0.9997637,0.00006154619,0.000008056798,0.00005867293,0.00007403046,0.0000340462],"domain_scores_gemma":[0.9990816,0.0005358998,0.00005650234,0.00008192802,0.0002100628,0.00003405007],"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":[0.0003758637,0.0001541378,0.04444347,0.0000908803,0.00007764527,0.0001571895,0.000141748,0.7482815,0.001328269,0.002693123,0.01123313,0.1910231],"study_design_scores_gemma":[0.000002540095,0.000007363667,0.006656524,0.000004957206,0.000003256163,0.000009417799,0.00002125773,0.992204,0.0002227947,0.0004334586,0.0004306208,0.000003854168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8632357,0.001081115,0.1155851,0.0008433666,0.0001434811,0.00006358565,0.002435397,0.001460767,0.01515143],"genre_scores_gemma":[0.9864433,0.0002486997,0.009680276,0.00004595316,0.00005373247,0.00001087795,0.001282314,0.00003757838,0.002197233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1268777,"threshold_uncertainty_score":0.2522784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009366161075519287,"score_gpt":0.1868666573188987,"score_spread":0.1775004962433794,"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."}}