{"id":"W4400276706","doi":"10.1109/icsmartgrid61824.2024.10578263","title":"Campus Electric Load Forecasting Using Recurrent Neural Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Artificial neural network; Computer science; Recurrent neural network; Electrical load; Artificial intelligence; Electrical engineering; Engineering; Voltage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001389044,0.0001925625,0.0001384321,0.0001091954,0.00007546816,0.0001398961,0.000095699,0.00008167617,0.00007814695],"category_scores_gemma":[0.00001882289,0.0001737655,0.0000856248,0.0005602038,0.000008904634,0.0001741594,0.00002861512,0.0003280965,0.00001101953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644111,"about_ca_system_score_gemma":0.00002350396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003143885,"about_ca_topic_score_gemma":0.00002604751,"domain_scores_codex":[0.9989534,0.00001283713,0.0002267105,0.0001993651,0.0001412593,0.0004664502],"domain_scores_gemma":[0.9996781,0.00008745836,0.0000127243,0.0001128478,0.00002344317,0.00008538086],"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":[0.000001626549,0.00000297674,0.0001013976,0.00006157172,0.00003096217,0.00004831381,0.00008565655,0.8080931,0.0008024776,0.0003799114,0.0007509699,0.1896411],"study_design_scores_gemma":[0.00005400127,0.00001889364,0.00000977297,0.0001165946,0.00001978501,0.0001263759,0.000009157289,0.9952666,0.0005582486,0.00004664523,0.003555862,0.0002180505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366058,0.02092905,0.1862838,0.00002362493,0.0077292,0.00015335,0.000002668967,0.002812175,0.04546036],"genre_scores_gemma":[0.9979282,0.00006181855,0.001037439,0.00002287976,0.0007093576,0.000004611659,0.000004991964,0.0000597516,0.0001709717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2613223,"threshold_uncertainty_score":0.7085951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171692908841549,"score_gpt":0.2283047402310211,"score_spread":0.2065878111426056,"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."}}