{"id":"W3126704758","doi":"10.3390/smartcities4010014","title":"Transfer Learning by Similarity Centred Architecture Evolution for Multiple Residential Load Forecasting","year":2021,"lang":"en","type":"article","venue":"Smart Cities","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Hydro; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación","keywords":"Neighbourhood (mathematics); Computer science; Transfer of learning; Architecture; Artificial intelligence; Demand response; Artificial neural network; Machine learning; Operations research; Engineering; Geography; Electricity","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001008406,0.0001831697,0.0001872377,0.00004413564,0.0002480724,0.00007265729,0.00007767895,0.0001165802,0.00005741087],"category_scores_gemma":[0.000206057,0.0002057657,0.0001302691,0.0001187608,0.00003578258,0.0001558477,0.00002160276,0.0002766768,0.00000259987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009060396,"about_ca_system_score_gemma":0.00005184222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007602386,"about_ca_topic_score_gemma":0.0009454287,"domain_scores_codex":[0.9989368,0.00003977468,0.0002223332,0.0002094693,0.0001791933,0.000412448],"domain_scores_gemma":[0.9995126,0.0002048354,0.00001574571,0.0001099298,0.0000899091,0.00006700358],"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":[0.0001381887,0.00004466276,0.01425629,0.000937121,0.0002704103,0.00004890803,0.007176535,0.8421558,0.1064351,0.001019963,0.01270634,0.0148107],"study_design_scores_gemma":[0.003481322,0.0001472834,0.001107753,0.0005772409,0.0001535478,0.0001160525,0.0043852,0.4622274,0.2839955,0.003136043,0.2392409,0.001431759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8566864,0.004415322,0.1325469,0.00017187,0.001316429,0.0001813962,0.0001553628,0.0006263168,0.003900062],"genre_scores_gemma":[0.996603,0.00002443398,0.001303195,0.00003144973,0.0003315639,0.00002536921,0.0001566496,0.00005003337,0.001474305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3799283,"threshold_uncertainty_score":0.8390882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600472037529843,"score_gpt":0.1907261788564193,"score_spread":0.1747214584811209,"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."}}