{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008263364,0.0006557557,0.0007273108,0.0006984547,0.0003462145,0.0005659531,0.0009990347,0.00102128,0.00158594],"category_scores_gemma":[0.002345729,0.0003680447,0.0007226983,0.0008122284,0.0003762487,0.0007908142,0.0007455596,0.001135934,0.0003432123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008154658,"about_ca_system_score_gemma":0.0006202591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009544565,"about_ca_topic_score_gemma":0.008017832,"domain_scores_codex":[0.9997856,0.00005844602,0.00001198651,0.00005667377,0.00005329306,0.00003398184],"domain_scores_gemma":[0.9994967,0.0002846014,0.0000399112,0.00004130779,0.0001163131,0.00002123125],"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":[0.00005008674,0.00005753942,0.0008011074,0.00002190264,0.00004851343,0.00006052727,0.00005594805,0.8785889,0.001598829,0.001119462,0.0006225673,0.1169745],"study_design_scores_gemma":[0.000001085367,0.000006690105,0.0000638332,8.096645e-7,0.000001551461,0.000003325248,0.000002367424,0.9993392,0.0001586204,0.0003704593,0.00005095418,0.000001137344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.119009,0.0006266196,0.8758121,0.0003067107,0.00007987236,0.00006974249,0.00008368045,0.001331974,0.002680332],"genre_scores_gemma":[0.9055006,0.0001486214,0.09052986,0.0001194417,0.00003742677,0.0001032557,0.000200742,0.00006107577,0.003298954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009544565,"threshold_uncertainty_score":0.018978,"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."}}