{"id":"W3092695888","doi":"10.1016/j.energy.2020.119092","title":"Risk-constrained stochastic market operation strategies for wind power producers and energy storage systems","year":2020,"lang":"en","type":"article","venue":"Energy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Teshmont (Canada)","funders":"","keywords":"Backup; Stochastic programming; Wind power; Profit (economics); Energy storage; Renewable energy; Environmental economics; Electric power system; Computer science; Operations research; Economics; Mathematical optimization; Microeconomics; Reliability engineering; Business; Power (physics); Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001188599,0.0001854763,0.0002093768,0.00007233064,0.0000760744,0.0001485286,0.00008370277,0.00009219537,0.00002209397],"category_scores_gemma":[0.00005504342,0.0001907025,0.00002978979,0.000162021,0.00002023232,0.0002561393,0.0000118942,0.0000605479,0.00000104739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006040299,"about_ca_system_score_gemma":0.00005949222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007551147,"about_ca_topic_score_gemma":0.00001958383,"domain_scores_codex":[0.9990855,0.00005866734,0.0002455652,0.0002648141,0.0001219973,0.0002234905],"domain_scores_gemma":[0.9995786,0.00006715594,0.00006077586,0.0001358648,0.00005332789,0.0001042528],"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":[0.00002353785,0.000005264234,0.000004320061,0.00005989145,0.00006817343,0.000001926735,0.0003766308,0.9851085,0.001698537,0.008171909,0.003896525,0.0005847943],"study_design_scores_gemma":[0.0004438673,0.0001244306,0.00002141672,0.00002166245,0.00002693641,0.000009125401,0.0003254352,0.9928246,0.0002917204,0.00003921076,0.00563537,0.0002362718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005201116,0.001431284,0.9882882,0.00007608049,0.0005485854,0.0001637316,0.00003395533,0.0003128904,0.003944189],"genre_scores_gemma":[0.9987541,0.00003988062,0.0004802337,0.000040945,0.0002029883,0.00006903024,0.00003817298,0.0000523569,0.000322288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.993553,"threshold_uncertainty_score":0.7776624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005557229378387097,"score_gpt":0.1783580069977048,"score_spread":0.1728007776193177,"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."}}