{"id":"W4405720626","doi":"10.3390/en17246475","title":"Load Optimization for Connected Modern Buildings Using Deep Hybrid Machine Learning in Island Mode","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics; University of Victoria","funders":"","keywords":"Mean absolute percentage error; Mean squared error; Photovoltaic system; Random forest; Smart grid; Computer science; Automotive engineering; Efficient energy use; Building automation; Artificial neural network; Real-time computing; Engineering; Artificial intelligence; Electrical engineering; Statistics; Mathematics","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":[0.0001054491,0.000154936,0.0001446369,0.0002007622,0.00004682364,0.0001009219,0.00008548714,0.00003866548,0.00003241027],"category_scores_gemma":[0.00003783839,0.0001660265,0.00004244443,0.0001925433,0.00001174402,0.0002076059,0.00004106418,0.0001099182,0.000002018819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000506,"about_ca_system_score_gemma":0.00001427361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569211,"about_ca_topic_score_gemma":0.0002303223,"domain_scores_codex":[0.9992502,0.00001381758,0.0001780339,0.0002065251,0.0001177866,0.0002336014],"domain_scores_gemma":[0.9997663,0.0000666473,0.00001361975,0.00010556,0.00002312864,0.00002467874],"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":[0.000007793186,0.000004345573,0.000058209,0.0001166309,0.00004440658,0.00001045845,0.0002671707,0.994078,0.001798263,0.0006616482,0.0002174819,0.002735639],"study_design_scores_gemma":[0.0002610936,0.000010681,0.000009621315,0.00007217917,0.00002098544,0.000003585188,0.00002615943,0.9892902,0.003623849,0.0002943081,0.006196199,0.0001911674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3254146,0.002067468,0.6707889,0.00002628753,0.0004523459,0.00008767684,0.00000756759,0.0006334807,0.0005216182],"genre_scores_gemma":[0.978506,0.000192887,0.02076806,0.00001395958,0.0001414363,0.00004380674,0.00006584939,0.00007564445,0.0001924004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6530914,"threshold_uncertainty_score":0.6770365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008350669229516309,"score_gpt":0.2177736215798266,"score_spread":0.2094229523503103,"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."}}