{"id":"W4362636969","doi":"10.1016/j.adapen.2023.100135","title":"Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies","year":2023,"lang":"en","type":"review","venue":"Advances in Applied Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":334,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Building science; Systems engineering; Computer science; Retrofitting; Occupancy; Building design; Building information modeling; Benchmarking; Energy modeling; Efficient energy use; Industrial engineering; Architectural engineering; Engineering","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":[0.003271556,0.001399534,0.001696218,0.003277654,0.0005666194,0.003200443,0.001800302,0.001917136,0.002769631],"category_scores_gemma":[0.005323343,0.0008811258,0.001722557,0.009251933,0.001383702,0.002296406,0.001419999,0.002160158,0.0009900111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578177,"about_ca_system_score_gemma":0.001779849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008089845,"about_ca_topic_score_gemma":0.006798952,"domain_scores_codex":[0.9976034,0.0009166101,0.0002665679,0.0002263755,0.0008864083,0.0001006494],"domain_scores_gemma":[0.9955633,0.003578749,0.000155791,0.0002009156,0.0004399224,0.00006127189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001236042,0.0003501689,0.003375071,0.02011755,0.0003337676,0.0005557549,0.001028346,0.1627344,0.002113158,0.2002326,0.01517901,0.5938566],"study_design_scores_gemma":[0.00004136947,0.000265741,0.003266206,0.01270777,0.00031518,0.0009043362,0.001223573,0.1254703,0.005008533,0.07476975,0.7757502,0.0002769572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008714703,0.8145471,0.1359657,0.002396578,0.0006118454,0.0002321982,0.0004987927,0.0003204331,0.03671273],"genre_scores_gemma":[0.08508371,0.8291665,0.07980666,0.000439892,0.0004532264,0.0003131428,0.0007105102,0.0002279041,0.003798482],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008089845,"threshold_uncertainty_score":0.0173018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06217462413877391,"score_gpt":0.3961521504889384,"score_spread":0.3339775263501645,"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."}}