{"id":"W2343330772","doi":"10.1109/tpwrs.2015.2512990","title":"Energy-Centric Flexibility Management in Power Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Power System Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Group for Research in Decision Analysis","funders":"","keywords":"Flexibility (engineering); Electric power system; Renewable energy; Energy storage; Reliability engineering; Computer science; Exploit; Demand response; Electricity generation; Energy management; Power management; Power (physics); Risk analysis (engineering); Environmental economics; Engineering; Energy (signal processing); Business; Electrical engineering; Economics; Electricity; Computer security","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":[0.001360951,0.000609695,0.0004810273,0.0004529319,0.0004227677,0.002157391,0.0009709303,0.0006907926,0.001381212],"category_scores_gemma":[0.001892903,0.0002756037,0.000406846,0.0009751173,0.001250243,0.002599397,0.001345843,0.001047659,0.0001953798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106336,"about_ca_system_score_gemma":0.0005339027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279623,"about_ca_topic_score_gemma":0.001318878,"domain_scores_codex":[0.9990618,0.0004105617,0.0000648827,0.0001403139,0.000231377,0.00009103034],"domain_scores_gemma":[0.9994113,0.0002802164,0.0001078811,0.00009515154,0.000066937,0.00003836522],"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":[0.00004589307,0.00002185685,0.0003637339,0.00007776802,0.0000306625,0.0001659216,0.0001567566,0.6577272,0.002065755,0.2988192,0.0008423339,0.03968288],"study_design_scores_gemma":[0.00001057507,0.00005473279,0.000345686,0.00003064647,0.00001184191,0.00006866267,0.00007781805,0.7828135,0.0007332125,0.2108549,0.004975335,0.00002317583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04163965,0.00232875,0.931762,0.001151696,0.00009166166,0.00004976804,0.00009249517,0.0002032624,0.02268071],"genre_scores_gemma":[0.9689178,0.0008421831,0.02793885,0.00006166773,0.00008085185,0.00004046151,0.00003269131,0.00002813828,0.002057429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002157391,"threshold_uncertainty_score":0.008027077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008500344302315548,"score_gpt":0.2019837130666871,"score_spread":0.1934833687643715,"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."}}