{"id":"W1980202627","doi":"10.1016/j.jprocont.2014.11.004","title":"Optimal design and operation of energy systems under uncertainty","year":2014,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Process Optimization and Integration","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Solver; Mathematical optimization; Stochastic programming; Piecewise; Nonlinear programming; Integer programming; Fractional programming; Decomposition; Separable space; Integer (computer science); Optimization problem; Nonlinear system; Computer science; 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":[0.001753147,0.0006976859,0.001511656,0.0006048745,0.0005582545,0.002203237,0.0007511188,0.001357462,0.001412165],"category_scores_gemma":[0.004289055,0.0009997017,0.0005895172,0.000662139,0.001400913,0.001602096,0.001125758,0.000925492,0.0001610271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194425,"about_ca_system_score_gemma":0.001555063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005676792,"about_ca_topic_score_gemma":0.003302173,"domain_scores_codex":[0.999137,0.0004101847,0.00003937655,0.0001035263,0.0001868081,0.0001231815],"domain_scores_gemma":[0.9987983,0.0008862098,0.0001227954,0.00003598304,0.0001220871,0.00003479257],"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":[0.00005083498,0.0000145657,0.00007365567,0.00002643741,0.00001629479,0.00001953705,0.00001748326,0.9882601,0.0003851266,0.007987245,0.00009467411,0.003053995],"study_design_scores_gemma":[0.00001360489,0.00002293434,0.00005674356,0.000003441039,0.000004587174,0.00000267368,0.000009111974,0.9917616,0.0001874513,0.007784076,0.0001492909,0.000004529972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1496376,0.001567043,0.8280811,0.001533132,0.0001402969,0.0001260901,0.0001685622,0.0001483949,0.01859771],"genre_scores_gemma":[0.9868602,0.0002945644,0.01118397,0.0000333271,0.00002920643,0.00006654492,0.0000381346,0.00002130541,0.001472748],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005676792,"threshold_uncertainty_score":0.01128751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006880820777796669,"score_gpt":0.2091615417045219,"score_spread":0.2022807209267252,"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."}}