{"id":"W1977963540","doi":"10.1016/j.procs.2013.06.095","title":"Compressed Air Storage and Wind Energy for Time-of-day Electricity Markets","year":2013,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Compressed air energy storage; Electricity; Energy storage; Renewable energy; Pumped-storage hydroelectricity; Wind power; Tariff; Computer science; Environmental economics; Automotive engineering; Environmental science; Distributed generation; Power (physics); Electrical engineering; Business; Economics; 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":[0.0002195605,0.0002970854,0.0003128153,0.0002254088,0.0002775172,0.0008069967,0.0005292149,0.0005260078,0.005917121],"category_scores_gemma":[0.0006607626,0.0001236978,0.0003189833,0.0003928849,0.0003134108,0.001130115,0.0002600471,0.0004343625,0.0002600379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006934188,"about_ca_system_score_gemma":0.0007012546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009518628,"about_ca_topic_score_gemma":0.01243061,"domain_scores_codex":[0.9999107,0.0000268918,0.000004000946,0.00001018658,0.00003398444,0.00001412479],"domain_scores_gemma":[0.9998385,0.00008056452,0.00002242564,0.00001150475,0.00003364831,0.000013452],"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":[0.0003086611,0.00009653482,0.00254794,0.0001892235,0.00004542127,0.000338095,0.00005027124,0.8436396,0.005133883,0.1066718,0.004834225,0.0361444],"study_design_scores_gemma":[0.0000478133,0.00007882149,0.001168322,0.00002553518,0.00001451382,0.0000760042,0.00005248335,0.9625075,0.001383431,0.02786864,0.006759699,0.00001725615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6522882,0.008388831,0.2010581,0.003948516,0.0009087251,0.0002017322,0.00134361,0.0006386126,0.1312237],"genre_scores_gemma":[0.9909515,0.0008089957,0.003791683,0.00005075989,0.00003760022,0.0000172799,0.0001159242,0.00001971786,0.004206457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009518628,"threshold_uncertainty_score":0.01979476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004359207612814838,"score_gpt":0.172118017588203,"score_spread":0.1677588099753882,"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."}}