{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003116392,0.001352245,0.001737423,0.0005761008,0.0004611533,0.001840678,0.001409894,0.001729044,0.00426357],"category_scores_gemma":[0.007011158,0.001180687,0.0007752476,0.000619347,0.001034073,0.002112081,0.001139635,0.001349624,0.0003309052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339001,"about_ca_system_score_gemma":0.001294444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004551566,"about_ca_topic_score_gemma":0.004394702,"domain_scores_codex":[0.9991871,0.0004488037,0.00003285787,0.00008765141,0.0001136157,0.000130017],"domain_scores_gemma":[0.9968296,0.002313402,0.0003821011,0.00006580037,0.0002656189,0.0001435537],"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":[0.0001138453,0.00002747535,0.0001290802,0.00004354048,0.00002706092,0.00005913463,0.00002112215,0.98409,0.0003642343,0.01182264,0.0004445715,0.002857202],"study_design_scores_gemma":[0.00001657158,0.00003972464,0.00008966842,0.00000585967,0.000009745105,0.000008435744,0.00001286256,0.9948657,0.00009013191,0.004750533,0.0001050589,0.000005759259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2675784,0.001552926,0.703198,0.002062376,0.000146443,0.0003042501,0.0005424822,0.0003308104,0.02428441],"genre_scores_gemma":[0.9874051,0.0002619045,0.007775976,0.00005848741,0.00002913913,0.00006166019,0.00006966096,0.00003959657,0.004298514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004551566,"threshold_uncertainty_score":0.01648128,"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."}}