{"id":"W2025858245","doi":"10.1109/tsg.2014.2357253","title":"Real-Time Optimal Dispatch and Economic Viability of Cryogenic Energy Storage Exploiting Arbitrage Opportunities in an Electricity Market","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Profitability index; Arbitrage; Electricity; Electricity market; Revenue; Subsidy; Energy storage; Environmental economics; Scheduling (production processes); Economic dispatch; Business; Economics; Microeconomics; Computer science; Finance; Engineering; Operations management; Electric power system; Electrical engineering; Market economy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001227415,0.0003799344,0.0005291899,0.0002680894,0.0002945892,0.001111673,0.0005497248,0.0005464577,0.001100512],"category_scores_gemma":[0.003056179,0.0002820507,0.0002378692,0.0003071621,0.0007292833,0.001359455,0.0004108642,0.0005942907,0.00006439503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340573,"about_ca_system_score_gemma":0.001416317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005010172,"about_ca_topic_score_gemma":0.005338663,"domain_scores_codex":[0.9996758,0.0001615839,0.000008741059,0.00003682346,0.00005511958,0.00006201204],"domain_scores_gemma":[0.9989188,0.0007868576,0.000127161,0.0000317424,0.00008067116,0.00005486385],"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":[0.0001200311,0.00002372756,0.000642254,0.00001746098,0.00001050612,0.00008735382,0.00002029214,0.9795797,0.0009742118,0.01301353,0.0001800515,0.005330917],"study_design_scores_gemma":[0.000005894999,0.0000173337,0.0001318398,9.281952e-7,0.000002252461,0.000007408419,0.0000142819,0.9974298,0.0002449623,0.002062975,0.00008006779,0.00000233785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.706843,0.000358588,0.2832325,0.0005099955,0.00003140098,0.00007293848,0.00007630325,0.00007476058,0.008800577],"genre_scores_gemma":[0.9951041,0.00005016243,0.004351277,0.000006447815,0.000004215703,0.000008375312,0.000008955166,0.000005219946,0.0004612519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005010172,"threshold_uncertainty_score":0.009961963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008890046046408456,"score_gpt":0.1887496236632218,"score_spread":0.1798595776168133,"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."}}