{"id":"W4313361472","doi":"10.3390/buildings13010080","title":"An Effective Metaheuristic Approach for Building Energy Optimization Problems","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Metaheuristic; Mathematical optimization; Computer science; Global optimization; Optimization problem; Test functions for optimization; Algorithm; Multi-swarm optimization; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000836072,0.001334429,0.0008141424,0.001177229,0.0004325364,0.001045839,0.0009140152,0.001115982,0.001499416],"category_scores_gemma":[0.00123503,0.0004425369,0.001232279,0.00134262,0.000600999,0.0007071744,0.0007193856,0.001401205,0.0003462723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005149011,"about_ca_system_score_gemma":0.001067977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699068,"about_ca_topic_score_gemma":0.00219113,"domain_scores_codex":[0.999608,0.0001672131,0.00002020252,0.00004121078,0.0001394753,0.0000239477],"domain_scores_gemma":[0.9997223,0.0001727569,0.00003099879,0.00002239711,0.00004228655,0.000009247042],"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":[0.00001710106,0.00003296557,0.0002028787,0.0001550488,0.00007397185,0.00004902477,0.00002335862,0.9237828,0.001352983,0.02805689,0.0007511317,0.04550196],"study_design_scores_gemma":[0.000005770851,0.00002350357,0.00003820039,0.00001446708,0.000009783509,0.00001656215,0.000007758999,0.9917352,0.0003529124,0.005934704,0.001857356,0.000003749685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004704344,0.0008249627,0.9883951,0.0001840043,0.00005532788,0.00007035181,0.00004354966,0.0001044917,0.005617787],"genre_scores_gemma":[0.2628149,0.002479136,0.7281322,0.0002342886,0.0001645147,0.000684787,0.0002340709,0.0001055599,0.00515034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001699068,"threshold_uncertainty_score":0.005016029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007925408829379282,"score_gpt":0.20504578427065,"score_spread":0.1971203754412707,"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."}}