{"id":"W2734024546","doi":"10.1016/j.scs.2017.06.023","title":"Two heuristic approaches for the optimization of grid-connected hybrid solar–hydrogen systems to supply residential thermal and electrical loads","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Particle swarm optimization; Mathematical optimization; Photovoltaic system; Computer science; Grid; Heuristic; Optimization problem; Engineering; Algorithm; Mathematics; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006848031,0.0002236914,0.0003916775,0.00004193199,0.001402147,0.0004456222,0.0003195812,0.00009586725,0.000008748186],"category_scores_gemma":[0.0002777264,0.0001715112,0.0001447845,0.00008531882,0.0002703014,0.0002297037,0.0002073019,0.0001086276,2.68826e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156053,"about_ca_system_score_gemma":0.0001618868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01886334,"about_ca_topic_score_gemma":0.0001140867,"domain_scores_codex":[0.9983786,0.00011309,0.0003506299,0.0003546282,0.0002334584,0.0005695407],"domain_scores_gemma":[0.998627,0.0002830959,0.000228856,0.0004812903,0.0002626484,0.0001171025],"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":[0.0001463611,0.00003518127,0.001214825,0.0008048356,0.000425453,0.00001329929,0.002795668,0.9267365,0.0002731572,0.06311244,0.003696194,0.0007461252],"study_design_scores_gemma":[0.002588775,0.0002971625,0.001845492,0.00008444604,0.0002720144,0.00005796318,0.03984196,0.939685,0.003315109,0.0009984095,0.01040792,0.0006057678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587198,0.003851065,0.03231196,0.000568884,0.00049516,0.001633868,0.00007979784,0.0001015062,0.002237987],"genre_scores_gemma":[0.9930816,0.000191339,0.0003689843,0.00004609624,0.0005972097,0.0002250384,0.00003684527,0.00004576176,0.005407171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06211403,"threshold_uncertainty_score":0.9998979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383734666209643,"score_gpt":0.2261680472926312,"score_spread":0.2123307006305348,"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."}}