{"id":"W3165283694","doi":"10.1016/j.jclepro.2021.127558","title":"Increasing renewable energy penetration and energy independence of island communities: A novel dynamic simulation approach for energy, economic, and environmental analysis, and optimization","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Renewable energy; TRNSYS; Wind power; Grid; Dynamic simulation; Energy independence; Energy modeling; Environmental economics; Context (archaeology); Electricity; Computer science; Simulation; Engineering; Efficient energy use; Energy (signal processing); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003933965,0.0004769182,0.000622488,0.0004839217,0.0005555326,0.001236778,0.001030494,0.00135841,0.002939583],"category_scores_gemma":[0.001931913,0.0004984062,0.0009009749,0.0005955887,0.000623328,0.001139432,0.001013399,0.001021878,0.0001839429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009479771,"about_ca_system_score_gemma":0.001184461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02653417,"about_ca_topic_score_gemma":0.02371813,"domain_scores_codex":[0.9998453,0.00006817609,0.000005110955,0.00002492745,0.00002756219,0.00002891762],"domain_scores_gemma":[0.9994803,0.0003016439,0.00006800175,0.00003383383,0.00006533481,0.00005092251],"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":[0.00001081932,0.0000164785,0.0002971695,0.000003935119,0.00000995841,0.00001659112,0.000009021951,0.9956499,0.000193818,0.002829168,0.000109264,0.0008539323],"study_design_scores_gemma":[0.00000218196,0.000002045827,0.0000379715,5.634388e-7,0.000001812426,0.000001613384,0.000003780353,0.9994499,0.00002368702,0.000428721,0.00004676569,9.719265e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4465827,0.0002735051,0.5022154,0.001669298,0.0001277858,0.0001159685,0.0004305331,0.0002925062,0.04829236],"genre_scores_gemma":[0.9795793,0.00009008982,0.01638046,0.00008766574,0.00002389666,0.0000568313,0.00008254313,0.00005058596,0.003648476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02653417,"threshold_uncertainty_score":0.05275947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006426760314577052,"score_gpt":0.1935698583372067,"score_spread":0.1871430980226296,"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."}}