{"id":"W2568495984","doi":"10.1049/iet-gtd.2016.0231","title":"Optimal scheduling of independently operated, locally controlled energy storage systems as dispatchable assets in a competitive electricity market","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dispatchable generation; Electricity market; Electricity; Energy storage; Scheduling (production processes); Computer science; Industrial organization; Business; Operations management; Renewable energy; Distributed generation; Electrical engineering; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007945857,0.0005776489,0.0007178352,0.0002768391,0.000321054,0.001018318,0.0006524822,0.0005176313,0.00168123],"category_scores_gemma":[0.001598046,0.0003062399,0.0002287048,0.0003490674,0.0006006477,0.0009107556,0.0004281168,0.0005601606,0.0001464159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114394,"about_ca_system_score_gemma":0.001469919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005002199,"about_ca_topic_score_gemma":0.004944832,"domain_scores_codex":[0.9996599,0.0001196283,0.00001626282,0.00006381217,0.00005548239,0.0000848821],"domain_scores_gemma":[0.9992645,0.0003604672,0.000167328,0.00003733152,0.00008546916,0.00008486763],"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":[0.0001440823,0.00003424732,0.0003138556,0.00001949868,0.000009329443,0.00004126665,0.00002568401,0.9804201,0.001262409,0.005690897,0.0004156654,0.01162287],"study_design_scores_gemma":[0.00001179677,0.00002294777,0.00006396882,9.784918e-7,0.000002460838,0.000003998215,0.000009243228,0.9981366,0.0003440219,0.001307357,0.0000940854,0.000002426701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4573329,0.0004046733,0.5324872,0.0004224056,0.00007957001,0.0001996984,0.0001071982,0.0002683906,0.008697841],"genre_scores_gemma":[0.9819125,0.00005973562,0.01686259,0.00001574784,0.000007937202,0.00003224334,0.00002117235,0.00001347051,0.001074719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005002199,"threshold_uncertainty_score":0.009946167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008859297620424193,"score_gpt":0.2209385176028131,"score_spread":0.2120792199823889,"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."}}